CN106918559B - A kind of method and device detecting Water quality - Google Patents
A kind of method and device detecting Water quality Download PDFInfo
- Publication number
- CN106918559B CN106918559B CN201710307754.5A CN201710307754A CN106918559B CN 106918559 B CN106918559 B CN 106918559B CN 201710307754 A CN201710307754 A CN 201710307754A CN 106918559 B CN106918559 B CN 106918559B
- Authority
- CN
- China
- Prior art keywords
- pixel
- slope
- waters
- spectral
- threshold value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N2021/1793—Remote sensing
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The present invention proposes a kind of method and device for detecting Water quality.A method of detection Water quality, comprising: obtain the remote sensing images of the geographic area of setting;Radiation calibration processing and atmospheric correction processing are carried out to the remote sensing images, obtain pretreated remote sensing images;From the pretreated remote sensing images, extraction obtains waters image;According to the spectral slope of each pixel in the waters image, the Water quality in the waters is confirmed.Above-mentioned technical proposal confirms waters Water quality by the spectral slope of the water area remote sensing image of analysis setting geographic area.Its analysis of data is from satellite remote sensing images, not manually collection in worksite water sample, therefore can save human cost, and more efficient.
Description
Technical field
The present invention relates to technical field of image processing more particularly to a kind of method and devices for detecting Water quality.
Background technique
With the fast development of China's urbanization, it is universal that the exposed Water quality deterioration of earth's surface has become many cities in China
Existing environmental problem.The exposed Water quality of earth's surface is detected and renovated, is the important means for improving urban environment.
The main path that the exposed Water quality in city is detected in China at present is to pass through data collection, on-the-spot investigation
And field monitoring, comprehensive detection is carried out in conjunction with some organoleptic indicators, chromaticity index, content of chemical substances index etc., confirms water body
Quality.Existing urban water-body quality determining method will be completed by artificial spot sampling, need to acquire water on the spot
Then sample carries out water analysis to water sample, determines Water quality, detection process time and effort consuming, and human cost is higher.
Summary of the invention
Defect and deficiency based on the above-mentioned prior art, the present invention propose a kind of method and device for detecting Water quality,
The Water quality of setting geographic area is detected using remote sensing images, to save the process for acquiring water sample on the spot, can reduce people
Power cost.
A method of detection Water quality, comprising:
Obtain the remote sensing images of the geographic area of setting;
Radiation calibration processing and atmospheric correction processing are carried out to the remote sensing images, obtain pretreated remote sensing images;
From the pretreated remote sensing images, extraction obtains waters image;
According to the spectral slope of each pixel in the waters image, the Water quality in the waters is confirmed.
Preferably, the spectral slope according to each pixel in the waters image, confirms the water body in the waters
Quality, comprising:
It calculates separately to obtain the first band spectral reflectivity and second band light of each pixel in the waters image
Compose reflectivity;
According to the first band spectral reflectivity and second band spectral reflectivity of each pixel, it is calculated described
The spectral slope of each pixel;
According to the spectral slope of each pixel, the Water quality in waters corresponding to each pixel is confirmed.
Preferably, the first band spectral reflectivity for calculating separately to obtain each pixel in the waters image and
Second band spectral reflectivity, comprising:
It calculates separately to obtain the blue wave band spectral reflectivity and green light band light of each pixel in the waters image
Compose reflectivity.
Preferably, the spectral slope according to each pixel confirms waters corresponding to each pixel
Water quality, comprising:
Respectively by the spectral slope of each pixel, compared with the slope threshold value of setting;
If the spectral slope of pixel is less than the slope threshold value, the water body in the corresponding waters of the pixel is black smelly water
Body;
If the spectral slope of pixel is not less than the slope threshold value, the water body in the corresponding waters of the pixel is normal water
Body.
Preferably, the spectral slope according to each pixel confirms waters corresponding to each pixel
Water quality, comprising:
Respectively by the spectral slope of each pixel, carried out pair with the first slope threshold value of setting and the second slope threshold value
Than;Wherein, the first slope threshold value is less than second slope threshold value;
If the spectral slope of pixel is less than the first slope threshold value, the water body in the corresponding waters of the pixel is severe
Black and odorous water;
If the spectral slope of pixel is not less than the first slope threshold value, and is less than second slope threshold value, then
The water body in the corresponding waters of the pixel is slight black and odorous water;
If the spectral slope of pixel is not less than second slope threshold value, the water body in the corresponding waters of the pixel is positive
Ordinary water body.
A kind of device detecting Water quality, comprising:
Image acquisition unit, the remote sensing images of the geographic area for obtaining setting;
Pretreatment unit obtains pre- place for carrying out radiation calibration processing and atmospheric correction processing to the remote sensing images
Remote sensing images after reason;
Water area extraction unit, for from the pretreated remote sensing images, extraction to obtain waters image;
Analysis and processing unit confirms the waters for the spectral slope according to each pixel in the waters image
Water quality.
Preferably, the analysis and processing unit, comprising:
First computing unit, the first band spectrum for calculating separately to obtain each pixel in the waters image are anti-
Penetrate rate and second band spectral reflectivity;
Second computing unit, for anti-according to the first band spectral reflectivity and second band spectrum of each pixel
Rate is penetrated, the spectral slope of each pixel is calculated;
Analytical unit confirms waters corresponding to each pixel for the spectral slope according to each pixel
Water quality.
Preferably, first computing unit calculates separately to obtain the first band of each pixel in the waters image
When spectral reflectivity and second band spectral reflectivity, it is specifically used for:
It calculates separately to obtain the blue wave band spectral reflectivity and green light band light of each pixel in the waters image
Compose reflectivity.
Preferably, the analytical unit confirms corresponding to each pixel according to the spectral slope of each pixel
Waters Water quality when, be specifically used for:
Respectively by the spectral slope of each pixel, compared with the slope threshold value of setting;
If the spectral slope of pixel is less than the slope threshold value, the water body in the corresponding waters of the pixel is black smelly water
Body;
If the spectral slope of pixel is not less than the slope threshold value, the water body in the corresponding waters of the pixel is normal water
Body.
Preferably, the analytical unit confirms corresponding to each pixel according to the spectral slope of each pixel
Waters Water quality when, be specifically used for:
Respectively by the spectral slope of each pixel, carried out pair with the first slope threshold value of setting and the second slope threshold value
Than;Wherein, the first slope threshold value is less than second slope threshold value;
If the spectral slope of pixel is less than the first slope threshold value, the water body in the corresponding waters of the pixel is severe
Black and odorous water;
If the spectral slope of pixel is not less than the first slope threshold value, and is less than second slope threshold value, then
The water body in the corresponding waters of the pixel is slight black and odorous water;
If the spectral slope of pixel is not less than second slope threshold value, the water body in the corresponding waters of the pixel is positive
Ordinary water body.
When setting the Water quality of geographic area using the method detection of detection Water quality proposed by the present invention, obtain first
Take the remote sensing images for obtaining the geographic area set;Then the remote sensing images are carried out at radiation calibration processing and atmospheric correction
Reason, obtains pretreated remote sensing images;Secondly from the pretreated remote sensing images, extraction obtains waters image;Most
Afterwards according to the spectral slope of each pixel in the waters image, the Water quality in the waters is confirmed.Above-mentioned technical proposal,
By the spectral slope of the water area remote sensing image of analysis setting geographic area, waters Water quality is confirmed.Its analysis of data comes from
In satellite remote sensing images, not manually collection in worksite water sample, therefore human cost can be saved, and more efficient.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow diagram of method for detecting Water quality provided in an embodiment of the present invention;
Fig. 2 is the flow diagram of the method for another detection Water quality provided in an embodiment of the present invention;
Fig. 3 is a kind of structural schematic diagram of device for detecting Water quality provided in an embodiment of the present invention;
Fig. 4 is the structural schematic diagram of the device of another detection Water quality provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is shown in Figure 1 the embodiment of the invention discloses a kind of method for detecting Water quality, this method comprises:
S101, the remote sensing images for obtaining the geographic area set;
Specifically, the remote sensing images of the geographic area of above-mentioned setting, refer to by a certain to be studied of satellite sensor acquisition
Geographic area satellite remote sensing images.The satellite remote sensing images can be obtained by way of downloading or buying on the net, also,
The satellite remote sensing images of setting time point can be obtained, so as to the water body to the geographic area at a set point in time according to demand
Quality is studied.
It is further to note that in order to improve the accuracy of Water quality analysis, the embodiment of the present invention preferentially obtains height
The remote sensing images of resolution ratio.The resolution ratio of high-resolution remote sensing images is generally meter level, therefrom can relatively accurately know
It Chu not earth's surface waters.Also, the embodiment of the present invention preferentially use with geographic area matched to be studied, cloud overlay capacity compared with
Few satellite remote sensing images, to guarantee data accuracy.
S102, the remote sensing images are carried out with radiation calibration processing and atmospheric correction processing, obtains pretreated remote sensing
Image;
Specifically, step S102 is executed, to satellite remote sensing images after the satellite remote sensing images for obtaining setting geographic area
It is pre-processed, is more clear satellite remote sensing images, accurately.It specifically includes and radiation calibration processing is carried out to satellite remote sensing images
With atmospheric correction processing.
Radiation calibration is that the nondimensional images light intensity value of sensor record is converted into having the big of actual physical meaning
Pneumatic jack layer radiance or reflectivity.The principle of radiation calibration be establish digital quantization value and radiance value in corresponding visual field it
Between quantitative relationship, to eliminate the error that sensor itself generates.Atmospheric correction be eliminate in remote sensing images by atmospheric scattering and
The treatment process of radiation error caused by absorbing.
It should be noted that carrying out radiation calibration processing and atmospheric correction processing to satellite remote sensing images is to satellite remote sensing
Image is pre-processed, and the routine work of the clarity and accuracy of satellite remote sensing images is improved.In the prior art, to satellite
Remote sensing images carry out there are many concrete modes of radiation calibration processing and atmospheric correction processing, any one mode can be by
The embodiment of the present invention is used, and the embodiment of the present invention is not defined specific embodiment.For mesh easy to operate
, the embodiment of the present invention preferentially uses existing software tool, pre-processes to the remote sensing images of acquisition, for example, can adopt
Atmospheric correction processing is carried out to satellite remote sensing images with the FLAASH function of ENVI software.
S103, from the pretreated remote sensing images, extraction obtain waters image;
Specifically, technical solution of the embodiment of the present invention is used to carry out the Water quality in the earth's surface waters of setting geographic area
It tests and analyzes, therefore, after obtaining the satellite remote sensing images of a certain geographic area and being pre-processed, by step S103, from defending
In star remote sensing images, extraction obtains the image in earth's surface waters, so as to the Water quality in subsequent more targeted ground-to-ground table waters
It is analyzed.
Specific extracting method can use the near infrared band of satellite remote sensing images data, the side interpreted by visual observation
Method, earth's surface waters region of directly being sketched out using remote sensing software.Alternatively, can also defending pretreated setting geographic area
Star remote sensing images carry out corresponding superposition with the water system sediments figure of the geographic area, and waters is extracted in identification from satellite remote sensing images
Image.
S104, according to the spectral slope of each pixel in the waters image, confirm the Water quality in the waters.
Specifically, water body color generally can also change when the Water quality in earth's surface waters changes.Example
Such as, darker when earth's surface water quality deteriorates and becomes black and odorous water, or even tend to black;When earth's surface waters algae
When too high levels, color more tends to green.When Water quality changes and leads to water body color change, it is presented on remote sensing figure
The spectral signature of picture can also occur to change accordingly.Wherein most direct performance is that its spectral slope can be showed and is clearly distinguishable from
Other Water qualities, special numerical characteristic.If the spectral slope numerical value in studied waters, the water with a certain credit rating
The spectral slope numerical characteristic of weight is identical, it can be said that the Water quality in the bright waters is in the credit rating.For example, black
The bluish-green spectrum slope of smelly water body has the protrusion numerical characteristic for being different from other Water qualities, when the remote sensing images in a certain waters
Bluish-green spectrum slope and the numerical value of bluish-green spectrum slope of black and odorous water when coincideing, that is, can conclude that, the water body in the waters is black
Smelly water body.Therefore, waters Water quality theoretically can be identified by calculating the spectral slope of analysis water area remote sensing image.
In embodiments of the present invention, the spectral slope analysis to waters image is executed for each pixel.I.e. to waters
Each pixel of remote sensing images, analyzes its spectral slope respectively, after the spectral slope for obtaining each pixel, by comparing pixel
Spectral slope and different quality water body spectral slope between size relation, that is, can determine the water in the corresponding waters of the pixel
Weight, so as to further determine that the Water quality in above-mentioned waters.The spectral slope of pixel, generally by two kinds of light of pixel
The reflectivity difference of spectrum is calculated.Therefore, in specific calculating process, for each pixel, the pixel is obtained first
The reflectivity of two kinds of specific spectrum, is further calculated the spectral slope of the pixel.
It should be noted that for different Water qualities, color characteristic is different, and corresponding spectral slope feature is not yet
Together.Therefore, it when testing and analyzing waters Water quality, needs to calculate spectral slope according to demand.For example, when analyzing certain
When whether one waters is black and odorous water, since the bluish-green spectrum slope numerical value of black and odorous water has the protrusion for being different from other water quality
Characteristic, therefore, should the bluish-green spectrum slope to the waters carry out calculating analysis.If the blue green light of the remote sensing images in the waters
Composing slope has numerical characteristic identical with black and odorous water bluish-green spectrum, then can be concluded that the waters is black and odorous water, otherwise say
The bright waters is not black and odorous water.
When the method detection of the detection Water quality proposed using the embodiment of the present invention sets the Water quality of geographic area,
The remote sensing images of the geographic area of setting are obtained first;Then radiation calibration processing and atmospheric correction are carried out to the remote sensing images
Processing, obtains pretreated remote sensing images;Secondly from the pretreated remote sensing images, extraction obtains waters image;
Finally according to the spectral slope of each pixel in the waters image, the Water quality in the waters is confirmed.Above-mentioned technical side
Case confirms waters Water quality by the spectral slope of the water area remote sensing image of analysis setting geographic area.Its analysis of data comes
From in satellite remote sensing images, not manually collection in worksite water sample, therefore human cost can be saved, and more efficient.
Optionally, in another embodiment of the present invention, shown in Figure 2, according to each in the waters image
The spectral slope of pixel confirms the Water quality in the waters, comprising:
S204, it calculates separately to obtain the first band spectral reflectivity and the second wave of each pixel in the waters image
Section spectral reflectivity;
Specifically, color characteristic is different due to different Water qualities, corresponding spectral slope feature is also different.Therefore,
Above-mentioned first band spectrum and second band spectrum need to choose according to actual needs, and first band spectrum and second band
The selection of spectrum will match with analysis directions.For example, should be counted when whether analyze studied waters is black and odorous water
Calculate the blue spectrum slope and green spectrum slope to match with black and odorous water spectral slope characteristic.
Specifically, remote sensing images are being carried out atmospheric correction using atmospheric correction software by the spectral reflectivity of different-waveband
When provide.In specific implementation step S204, the spectrum that needs are chosen from the spectral reflectivity that atmospheric correction software provides is anti-
Penetrate rate.
S205, first band spectral reflectivity and second band spectral reflectivity according to each pixel, calculate
To the spectral slope of each pixel;
Specifically, the spectral slope of pixel, is calculated by the difference of two kinds of band spectrum reflectivity of pixel.Assuming that certain
The first band spectral reflectivity of one pixel is B1, and second band spectral reflectivity is B2, then can be according to formula BW=| B2-
B1 |/0.032, corresponding spectral slope BW is calculated.Wherein, 0.032 is the determining design factor of experiment, in actual implementation
When the present embodiment technical solution, can flexibly it set according to demand.
S206, according to the spectral slope of each pixel, confirm the water body matter in waters corresponding to each pixel
Amount.
Specifically, the spectral slope BW of pixel is compared with the spectral slope value of the Water quality of setting, if should
The spectral slope value of pixel matches with the spectral slope value of the Water quality of setting, then illustrates waters corresponding to the pixel
Water quality it is identical as the Water quality of above-mentioned setting.
For example, when whether detect the water body in a certain waters is black and odorous water.By each pixel of the water area remote sensing image
Bluish-green spectrum slope value and the bluish-green spectrum slope value of black and odorous water compare, if the bluish-green spectrum slope value of pixel with
The bluish-green spectrum slope value of black and odorous water matches, then illustrates that the corresponding waters of the pixel is black and odorous water, be not otherwise black smelly
Water body.
It should be noted that the above-mentioned spectral slope value with the Water quality of setting matches, however it is not limited to setting
The spectral slope value of Water quality is identical, if in setting Water quality spectral slope value within the scope of, or with setting
The difference of the spectral slope value of Water quality within the allowable range, is regarded as the spectral slope value phase with the Water quality of setting
Matching.
Step S201~S203 in the present embodiment respectively correspond the step S101 in embodiment of the method shown in FIG. 1~
S103, particular content refer to the content of corresponding embodiment of the method shown in FIG. 1, and details are not described herein again.
Optionally, in another embodiment of the present invention, it is described calculate separately to obtain it is each in the waters image
The first band spectral reflectivity and second band spectral reflectivity of pixel, comprising:
It calculates separately to obtain the blue wave band spectral reflectivity and green light band light of each pixel in the waters image
Compose reflectivity.
Specifically, the bluish-green spectrum slope due to black and odorous water has the numerical characteristic for being different from other Water qualities, because
This needs targetedly to calculate the every of the water area remote sensing image when whether the water body for analyzing above-mentioned waters is black and odorous water
The blue wave band spectral reflectivity and green light band spectral reflectivity of one pixel.Specific blue wave band spectral reflectivity and green light
Band spectrum reflectivity is provided by atmospheric correction software.
Optionally, in another embodiment of the present invention, the spectral slope according to each pixel confirms institute
State the Water quality in waters corresponding to each pixel, comprising:
Respectively by the spectral slope of each pixel, compared with the slope threshold value of setting;
If the spectral slope of pixel is less than the slope threshold value, the water body in the corresponding waters of the pixel is black smelly water
Body;
If the spectral slope of pixel is not less than the slope threshold value, the water body in the corresponding waters of the pixel is normal water
Body.
Specifically, above-mentioned spectral slope is bluish-green spectrum slope, above-mentioned slope threshold value is bluish-green spectrum slope threshold value.
For typical black and odorous water, measured spectra is in 400-500nm wavelength band.Since chlorophyll a is in royal purple light wave
The strong absorption of the absorption of section and yellow matter in the range, the reflectivity of water body are lower.550-580nm wave band reflection peak not
Obviously, curve of spectrum tendency is than more gentle;It is limited to chlorophyll content, reflection paddy and reflection peak near 675nm and 700nm
Unobvious, the curve of spectrum is relatively smooth.To sum up, the black and odorous water curve of spectrum within the scope of 400-500nm spectral slope compared with
It is low, that is to say, that the bluish-green spectrum slope of black and odorous water is lower.
According to above-mentioned black and odorous water spectral slope characteristic, by the bluish-green spectrum of each pixel of water area remote sensing image to be detected
Slope and the bluish-green spectrum slope of setting compare, that is, can determine whether the water body in the corresponding waters of each pixel is black smelly water
Body.
For example, according to experiment experience, set for judging that water body whether be the slope threshold value of black and odorous water is N=0.152,
Then if bluish-green spectrum slope BW < N of pixel, illustrate that the corresponding waters of the pixel is black and odorous water;Otherwise the pixel is corresponding
Waters be not black and odorous water.The value of above-mentioned N can flexibly be set according to experiment or actual demand.
Optionally, in another embodiment of the present invention, the spectral slope according to each pixel confirms institute
State the Water quality in waters corresponding to each pixel, comprising:
Respectively by the spectral slope of each pixel, carried out pair with the first slope threshold value of setting and the second slope threshold value
Than;Wherein, the first slope threshold value is less than second slope threshold value;
If the spectral slope of pixel is less than the first slope threshold value, the water body in the corresponding waters of the pixel is severe
Black and odorous water;
If the spectral slope of pixel is not less than the first slope threshold value, and is less than second slope threshold value, then
The water body in the corresponding waters of the pixel is slight black and odorous water;
If the spectral slope of pixel is not less than second slope threshold value, the water body in the corresponding waters of the pixel is positive
Ordinary water body.
Specifically, above-mentioned spectral slope is bluish-green spectrum slope, above-mentioned slope threshold value is bluish-green spectrum slope threshold value.
For typical black and odorous water, measured spectra is in 400-500nm wavelength band.Since chlorophyll a is in royal purple light wave
The strong absorption of the absorption of section and yellow matter in the range, the reflectivity of water body are lower.550-580nm wave band reflection peak not
Obviously, curve of spectrum tendency is than more gentle;It is limited to chlorophyll content, reflection paddy and reflection peak near 675nm and 700nm
Unobvious, the curve of spectrum is relatively smooth.To sum up, the black and odorous water curve of spectrum within the scope of 400-500nm spectral slope compared with
It is low, that is to say, that the bluish-green spectrum slope of black and odorous water is lower.
According to above-mentioned black and odorous water spectral slope characteristic, by the bluish-green spectrum of each pixel of water area remote sensing image to be detected
Slope and the bluish-green spectrum slope of setting compare, that is, can determine whether the water body in the corresponding waters of each pixel is black smelly water
Body.Further, different size of slope threshold value is set, can further judge the corresponding waters of pixel for severe black and odorous water
Or slight black and odorous water.
For example, according to experiment experience, set for judging that water body whether be the second slope threshold value of black and odorous water is N=
0.152, set the first slope threshold value for distinguishing slight black and odorous water and severe black and odorous water as N1=0.07, then if pixel
0 < BW of bluish-green spectrum slope≤N1 then illustrates that the corresponding waters of the pixel is severe black and odorous water;If the bluish-green spectrum of pixel
Slope N1 < BW≤N then illustrates that the corresponding waters of the pixel is slight black and odorous water;Otherwise the corresponding waters of the pixel is not black
Smelly water body.The value of above-mentioned N and N1 can flexibly be set according to experiment or actual demand.
The embodiment of the invention also discloses a kind of devices for detecting Water quality, and shown in Figure 3, which includes:
Image acquisition unit 301, the remote sensing images of the geographic area for obtaining setting;
Pretreatment unit 302 obtains pre- for carrying out radiation calibration processing and atmospheric correction processing to the remote sensing images
Treated remote sensing images;
Water area extraction unit 303, for from the pretreated remote sensing images, extraction to obtain waters image;
Analysis and processing unit 304 confirms the water for the spectral slope according to each pixel in the waters image
The Water quality in domain.
Specifically, the specific works content of each unit in the present embodiment, refers to the interior of corresponding embodiment of the method
Hold, details are not described herein again.
When the device detection of the detection Water quality proposed using the embodiment of the present invention sets the Water quality of geographic area,
The remote sensing images of the geographic area of setting are obtained by image acquisition unit 301 first;Then pretreatment unit 302 is to described
Remote sensing images carry out radiation calibration processing and atmospheric correction processing, obtain pretreated remote sensing images;Secondly water area extraction list
For member 303 from the pretreated remote sensing images, extraction obtains waters image;Ultimate analysis processing unit 304 is according to described
The spectral slope of each pixel in the image of waters, confirms the Water quality in the waters.Above-mentioned technical proposal is set by analysis
Determine the spectral slope of the water area remote sensing image of geographic area, confirms waters Water quality.Its analysis of data is from satellite remote sensing
Image, not manually collection in worksite water sample, therefore human cost can be saved, and more efficient.
Optionally, in another embodiment of the present invention, shown in Figure 4, analysis and processing unit 304, comprising:
First computing unit 3041 obtains the first band light of each pixel in the waters image for calculating separately
Compose reflectivity and second band spectral reflectivity;
Second computing unit 3042, for the first band spectral reflectivity and second band light according to each pixel
Reflectivity is composed, the spectral slope of each pixel is calculated;
Analytical unit 3043 confirms corresponding to each pixel for the spectral slope according to each pixel
The Water quality in waters.
Specifically, the specific works content of each unit in the present embodiment, refers to the interior of corresponding embodiment of the method
Hold, details are not described herein again.
Optionally, in another embodiment of the present invention, the first computing unit 3041 calculates separately to obtain the waters
When the first band spectral reflectivity and second band spectral reflectivity of each pixel in image, it is specifically used for:
It calculates separately to obtain the blue wave band spectral reflectivity and green light band light of each pixel in the waters image
Compose reflectivity.
Specifically, the specific works content of the first computing unit 3041 in the present embodiment, it is real to refer to corresponding method
The content of example is applied, details are not described herein again.
Optionally, in another embodiment of the present invention, analytical unit 3043 is oblique according to the spectrum of each pixel
Rate is specifically used for when confirming the Water quality in waters corresponding to each pixel:
Respectively by the spectral slope of each pixel, compared with the slope threshold value of setting;
If the spectral slope of pixel is less than the slope threshold value, the water body in the corresponding waters of the pixel is black smelly water
Body;
If the spectral slope of pixel is not less than the slope threshold value, the water body in the corresponding waters of the pixel is normal water
Body.
Specifically, the specific works content of the analytical unit 3043 in the present embodiment, refers to corresponding embodiment of the method
Content, details are not described herein again.
Optionally, in another embodiment of the present invention, analytical unit 3043 is oblique according to the spectrum of each pixel
Rate is specifically used for when confirming the Water quality in waters corresponding to each pixel:
Respectively by the spectral slope of each pixel, carried out pair with the first slope threshold value of setting and the second slope threshold value
Than;Wherein, the first slope threshold value is less than second slope threshold value;
If the spectral slope of pixel is less than the first slope threshold value, the water body in the corresponding waters of the pixel is severe
Black and odorous water;
If the spectral slope of pixel is not less than the first slope threshold value, and is less than second slope threshold value, then
The water body in the corresponding waters of the pixel is slight black and odorous water;
If the spectral slope of pixel is not less than second slope threshold value, the water body in the corresponding waters of the pixel is positive
Ordinary water body.
Specifically, the specific works content of the analytical unit 3043 in the present embodiment, refers to corresponding embodiment of the method
Content, details are not described herein again.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (8)
1. a kind of method for detecting Water quality characterized by comprising
Obtain the remote sensing images of the geographic area of setting;
Radiation calibration processing and atmospheric correction processing are carried out to the remote sensing images, obtain pretreated remote sensing images;
From the pretreated remote sensing images, extraction obtains waters image;
First band spectral reflectivity and the second band spectrum for calculating separately to obtain each pixel in the waters image are anti-
Penetrate rate;
According to the difference of the first band spectral reflectivity of each pixel and second band spectral reflectivity, institute is calculated
State the spectral slope of each pixel;
According to the spectral slope of each pixel, the Water quality in waters corresponding to each pixel is confirmed.
2. the method according to claim 1, wherein it is described calculate separately to obtain it is each in the waters image
The first band spectral reflectivity and second band spectral reflectivity of pixel, comprising:
Blue wave band spectral reflectivity and the green light band spectrum for calculating separately to obtain each pixel in the waters image are anti-
Penetrate rate.
3. according to the method described in claim 2, it is characterized in that, the spectral slope according to each pixel, confirmation
The Water quality in waters corresponding to each pixel, comprising:
Respectively by the spectral slope of each pixel, compared with the slope threshold value of setting;
If the spectral slope of pixel is less than the slope threshold value, the water body in the corresponding waters of the pixel is black and odorous water;
If the spectral slope of pixel is not less than the slope threshold value, the water body in the corresponding waters of the pixel is normal water body.
4. according to the method described in claim 2, it is characterized in that, according to the spectral slope of each pixel, described in confirmation
The Water quality in waters corresponding to each pixel, comprising:
Respectively by the spectral slope of each pixel, compared with the first slope threshold value of setting and the second slope threshold value;
Wherein, the first slope threshold value is less than second slope threshold value;
If the spectral slope of pixel is less than the first slope threshold value, the water body in the corresponding waters of the pixel is that severe is black smelly
Water body;
If the spectral slope of pixel is not less than the first slope threshold value, and is less than second slope threshold value, then the picture
The water body in the corresponding waters of member is slight black and odorous water;
If the spectral slope of pixel is not less than second slope threshold value, the water body in the corresponding waters of the pixel is normal water
Body.
5. a kind of device for detecting Water quality characterized by comprising
Image acquisition unit, the remote sensing images of the geographic area for obtaining setting;
Pretreatment unit, for carrying out radiation calibration processing and atmospheric correction processing to the remote sensing images, after obtaining pretreatment
Remote sensing images;
Water area extraction unit, for from the pretreated remote sensing images, extraction to obtain waters image;
First computing unit obtains the first band spectral reflectivity of each pixel in the waters image for calculating separately
With second band spectral reflectivity;
Second computing unit, for the first band spectral reflectivity and second band spectral reflectivity according to each pixel
Difference, the spectral slope of each pixel is calculated;
Analytical unit confirms the water in waters corresponding to each pixel for the spectral slope according to each pixel
Weight.
6. device according to claim 5, which is characterized in that first computing unit calculates separately to obtain the waters
When the first band spectral reflectivity and second band spectral reflectivity of each pixel in image, it is specifically used for:
Blue wave band spectral reflectivity and the green light band spectrum for calculating separately to obtain each pixel in the waters image are anti-
Penetrate rate.
7. device according to claim 6, which is characterized in that the analytical unit is oblique according to the spectrum of each pixel
Rate is specifically used for when confirming the Water quality in waters corresponding to each pixel:
Respectively by the spectral slope of each pixel, compared with the slope threshold value of setting;
If the spectral slope of pixel is less than the slope threshold value, the water body in the corresponding waters of the pixel is black and odorous water;
If the spectral slope of pixel is not less than the slope threshold value, the water body in the corresponding waters of the pixel is normal water body.
8. device according to claim 6, which is characterized in that the analytical unit is oblique according to the spectrum of each pixel
Rate is specifically used for when confirming the Water quality in waters corresponding to each pixel:
Respectively by the spectral slope of each pixel, compared with the first slope threshold value of setting and the second slope threshold value;
Wherein, the first slope threshold value is less than second slope threshold value;
If the spectral slope of pixel is less than the first slope threshold value, the water body in the corresponding waters of the pixel is that severe is black smelly
Water body;
If the spectral slope of pixel is not less than the first slope threshold value, and is less than second slope threshold value, then the picture
The water body in the corresponding waters of member is slight black and odorous water;
If the spectral slope of pixel is not less than second slope threshold value, the water body in the corresponding waters of the pixel is normal water
Body.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710307754.5A CN106918559B (en) | 2017-05-04 | 2017-05-04 | A kind of method and device detecting Water quality |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710307754.5A CN106918559B (en) | 2017-05-04 | 2017-05-04 | A kind of method and device detecting Water quality |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106918559A CN106918559A (en) | 2017-07-04 |
CN106918559B true CN106918559B (en) | 2019-03-12 |
Family
ID=59568350
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710307754.5A Expired - Fee Related CN106918559B (en) | 2017-05-04 | 2017-05-04 | A kind of method and device detecting Water quality |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106918559B (en) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108195775B (en) * | 2017-12-25 | 2019-03-01 | 环境保护部卫星环境应用中心 | The indicative water quality monitoring website confirmation method of lake and reservoir and device based on remote sensing image |
CN108333148B (en) * | 2018-01-11 | 2020-12-01 | 中国科学院遥感与数字地球研究所 | Method and device for identifying black and odorous water body |
CN109118457A (en) * | 2018-09-30 | 2019-01-01 | 中国科学院遥感与数字地球研究所 | Remote sensing image processing method and processing device |
CN109269993A (en) * | 2018-10-15 | 2019-01-25 | 广州地理研究所 | A kind of recognition methods of dissolved oxygen, device, storage medium and equipment |
CN109447916A (en) * | 2018-10-30 | 2019-03-08 | 环境保护部华南环境科学研究所 | A kind of water quality quantitative approach based on high-resolution remote sensing image |
CN110897593A (en) * | 2019-10-24 | 2020-03-24 | 南京航空航天大学 | Cervical cancer pre-lesion diagnosis method based on spectral characteristic parameters |
CN111307727B (en) * | 2020-03-13 | 2020-10-30 | 生态环境部卫星环境应用中心 | Water body water color abnormity identification method and device based on time sequence remote sensing image |
CN112798540A (en) * | 2020-12-14 | 2021-05-14 | 浙江易智信息技术有限公司 | Water body pollution source early warning system based on high-resolution remote sensing |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102169557A (en) * | 2011-03-10 | 2011-08-31 | 王桥 | Environment remote sensing application system |
CN102176001A (en) * | 2011-02-10 | 2011-09-07 | 哈尔滨工程大学 | Permeable band ratio factor-based water depth inversion method |
CN102565294A (en) * | 2011-02-01 | 2012-07-11 | 环境保护部卫星环境应用中心 | Water source area monitoring and evaluation method |
CN103473707A (en) * | 2013-09-17 | 2013-12-25 | 山东大学 | Method for establishing urban river network water body spectrum library and application |
CN103472037A (en) * | 2013-09-10 | 2013-12-25 | 淮南矿业(集团)有限责任公司 | Method and device for monitoring water environment in sunk ponding region |
CN105043994A (en) * | 2015-07-21 | 2015-11-11 | 青岛市光电工程技术研究院 | Non-contact water quality detecting device for surface water |
CN105046087A (en) * | 2015-08-04 | 2015-11-11 | 中国资源卫星应用中心 | Water body information automatic extraction method for multi-spectral image of remote sensing satellite |
CN105488488A (en) * | 2015-12-10 | 2016-04-13 | 中国科学院遥感与数字地球研究所 | Remote sensing recognition method and apparatus for black and odorous water body in city |
CN105761286A (en) * | 2016-02-29 | 2016-07-13 | 环境保护部卫星环境应用中心 | Water color exception object extraction method and system based on multi-spectral remote sensing image |
CN106442420A (en) * | 2016-09-21 | 2017-02-22 | 河海大学 | Qualitative and quantitative combination water quality monitoring method |
CN106596487A (en) * | 2016-12-14 | 2017-04-26 | 中国科学院苏州生物医学工程技术研究所 | Intracellular protein detection method based on microdrop and nano-fluorescence probe |
-
2017
- 2017-05-04 CN CN201710307754.5A patent/CN106918559B/en not_active Expired - Fee Related
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102565294A (en) * | 2011-02-01 | 2012-07-11 | 环境保护部卫星环境应用中心 | Water source area monitoring and evaluation method |
CN102176001A (en) * | 2011-02-10 | 2011-09-07 | 哈尔滨工程大学 | Permeable band ratio factor-based water depth inversion method |
CN102169557A (en) * | 2011-03-10 | 2011-08-31 | 王桥 | Environment remote sensing application system |
CN103472037A (en) * | 2013-09-10 | 2013-12-25 | 淮南矿业(集团)有限责任公司 | Method and device for monitoring water environment in sunk ponding region |
CN103473707A (en) * | 2013-09-17 | 2013-12-25 | 山东大学 | Method for establishing urban river network water body spectrum library and application |
CN105043994A (en) * | 2015-07-21 | 2015-11-11 | 青岛市光电工程技术研究院 | Non-contact water quality detecting device for surface water |
CN105046087A (en) * | 2015-08-04 | 2015-11-11 | 中国资源卫星应用中心 | Water body information automatic extraction method for multi-spectral image of remote sensing satellite |
CN105488488A (en) * | 2015-12-10 | 2016-04-13 | 中国科学院遥感与数字地球研究所 | Remote sensing recognition method and apparatus for black and odorous water body in city |
CN105761286A (en) * | 2016-02-29 | 2016-07-13 | 环境保护部卫星环境应用中心 | Water color exception object extraction method and system based on multi-spectral remote sensing image |
CN106442420A (en) * | 2016-09-21 | 2017-02-22 | 河海大学 | Qualitative and quantitative combination water quality monitoring method |
CN106596487A (en) * | 2016-12-14 | 2017-04-26 | 中国科学院苏州生物医学工程技术研究所 | Intracellular protein detection method based on microdrop and nano-fluorescence probe |
Non-Patent Citations (6)
Title |
---|
Remote sensing application system for water environments developed for Environment Satellite 1;Wu ChuanQing et al;《Science China earth sciences》;20101231;第53卷;全文 |
基于RS淮南采煤沉陷水域水质实时监测技术研究;叶圆圆;《中国优秀硕士学位论文全文数据库工程科技I辑》;20150215(第2期);5.淮南采煤沉陷区水质遥感反演与分析 |
基于反射光谱的景观水体表观质量的测量研究;王军等;《激光与光电子学进展》;20121231;第49卷;全文 |
彩色红外航片用于水污染遥感监测的定量分析;傅江等;《中国环境科学》;19941231;第14卷(第6期);1.污染水体对反射光谱的影响以及5.结论 |
水体污染物与反射波谱的相关性分析;张凤丽等;《中国给水排水》;20021231;第18卷;全文 |
结合水体光学分类反演太湖总悬浮物浓度;周晓宇等;《环境科学》;20130731;第34卷(第7期);全文 |
Also Published As
Publication number | Publication date |
---|---|
CN106918559A (en) | 2017-07-04 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106918559B (en) | A kind of method and device detecting Water quality | |
CN108956505B (en) | Method and device for detecting concentration of chlorophyll a in small water body based on Sentinel-2 image | |
CN111415309B (en) | High-resolution remote sensing image atmosphere correction method based on minimum reflectivity method | |
CA2808940C (en) | Imaging system and associated method for detection of protein contamination | |
Yamazaki et al. | Characteristics of shadow and removal of its effects for remote sensing imagery | |
CN103900972B (en) | Multi-feature fusion-based meat freshness hyperspectral image visual detection | |
CN102313699A (en) | Estimation method of total nitrogen content in crop canopy leaf | |
CN105115873A (en) | Non-destructive testing method for concrete anti-permeability | |
CN101114023A (en) | Lake and marshland flooding remote sense monitoring methods based on model | |
CN103196838A (en) | Hyperspectral remote sensing monitoring method for coastal estuary eutrophication | |
CN102636313A (en) | Leakage source detecting device based on infrared thermal imaging processing | |
Ren et al. | Estimating green biomass ratio with remote sensing in arid grasslands | |
CN106846295B (en) | Method and device for measuring soil organic matter | |
CN109671082B (en) | Sealing ring detection method, device, equipment and computer readable storage medium | |
CN102636450A (en) | Method for detecting wolfberry polyose content in Chinese wolfberry in a nondestructive way based on near infrared spectrum technology | |
CN109916831B (en) | Method and system for reducing false alarm rate of data of laser gas telemeter | |
CN109781752A (en) | For detecting the enhancing of X-ray digital imagery and quantitative identification method of sleeve grouting defect | |
CN115266632A (en) | Unmanned aerial vehicle hyperspectral remote sensing investigation method for water pollution source | |
CN103134767A (en) | Method for liquor quality identification through infrared spectrum revision | |
Haque et al. | Quantitative drinking water arsenic concentrations in field environments using mobile phone photometry of field kits | |
CN106770058A (en) | The quick special purpose device and its application method of the soil nitrate-N based on infrared spectrum | |
CN111879709B (en) | Lake water body spectral reflectivity inspection method and device | |
Mélin et al. | Assessment of satellite ocean colour radiometry and derived geophysical products | |
CN111879725A (en) | Spectral data correction method based on weight coefficient | |
CN115761038A (en) | Tunnel face geological sketch method and system based on image spectrum technology |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190312 Termination date: 20210504 |