CN110726675A - Unmanned aerial vehicle remote sensing detection system and remote sensing detection method - Google Patents
Unmanned aerial vehicle remote sensing detection system and remote sensing detection method Download PDFInfo
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- CN110726675A CN110726675A CN201910827247.3A CN201910827247A CN110726675A CN 110726675 A CN110726675 A CN 110726675A CN 201910827247 A CN201910827247 A CN 201910827247A CN 110726675 A CN110726675 A CN 110726675A
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- 238000001514 detection method Methods 0.000 title claims abstract description 27
- 230000003287 optical effect Effects 0.000 claims abstract description 24
- 230000005856 abnormality Effects 0.000 claims description 5
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- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 claims description 3
- 238000010521 absorption reaction Methods 0.000 claims 1
- 230000035939 shock Effects 0.000 claims 1
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
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- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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Abstract
The invention discloses an unmanned aerial vehicle remote sensing detection system and a remote sensing detection method, which belong to the technical field of remote sensing detection and comprise an information acquisition module for acquiring information on the ground, an information transmitting module for transmitting the information acquisition module, an information receiving module for receiving the information acquired by the information acquisition module and a processor, wherein the information acquisition module comprises an optical remote sensor, the optical remote sensor and a GPS (global positioning system) positioner, the output end of the information receiving module is connected with the processor, and the output end of the processor is connected with an image amplifier. The invention can monitor the accuracy of the information acquisition module in real time, and prevent the inaccuracy of the acquired data caused by the error of a certain instrument, thereby being convenient for finding and adjusting in time.
Description
Technical Field
The invention relates to a detection system and a detection method, in particular to an unmanned aerial vehicle remote sensing detection system and a remote sensing detection method, and belongs to the technical field of remote sensing detection.
Background
With the continuous and high-speed development of national economy, the role of geographic information in macro decision and daily life is increasingly remarkable. The acquisition and data updating of geographic information mainly depend on space flight and aviation remote sensing technologies, remote sensing detection means that electromagnetic radiation information of a ground object target is collected through a sensor carried on a satellite, an airplane or other aircraft platform, required physical information is extracted from an observed spectrum, the remote sensing technology is rarely used for the existing detection of the geographic information by an unmanned aerial vehicle, and meanwhile, a certain information collector in a traditional detection system is damaged and is not easy to detect, so that the detected data are inaccurate.
Disclosure of Invention
The invention mainly aims to provide an unmanned aerial vehicle remote sensing detection system and a remote sensing detection method for overcoming the defects in the prior art.
The purpose of the invention can be achieved by adopting the following technical scheme:
the utility model provides an unmanned aerial vehicle remote sensing detection system, is including the information acquisition module that is used for carrying out the information collection to ground, be used for right the information acquisition module carries out the information emission module of transmission, is used for receiving information acquisition module information collection's information receiving module and treater, information acquisition module includes optical remote sensor, optical remote sensor and GPS locator, information receiving module's output is connected with the treater, the output of treater is connected with image amplifier, image amplifier's output is connected with alarm and display, the input of GPS locator is connected with the anomaly detector, the input of optical remote sensor be connected with automatic calibrator with the anomaly detector, multispectral scanning imager's input is connected with anomaly detector and shock-absorbing module.
Preferably, the automatic calibrator controls a detection direction of the optical remote sensor.
Preferably, the vibration reduction module assists the multispectral scanning imager to scan and acquire images.
Preferably, the anomaly detector, the processor, the image amplifier and the alarm constitute an anomaly alarm chain.
Preferably, the image amplifier amplifies the information processed by the processor, so as to be displayed on the display.
Preferably, the anomaly detector detects the optical remote sensor, the multispectral scanning imager and the GPS locator.
Preferably, the abnormality detector is an NPW-160 type abnormality detector.
Preferably, the information acquisition module, the information transmitting module, the information receiving module, the processor, the image amplifier and the display form an information acquisition display chain.
A remote sensing detection method of an unmanned aerial vehicle remote sensing detection system comprises the following steps:
step 1: starting the unmanned aerial vehicle, detecting initial data of the optical remote sensor, the multispectral scanning imager and the GPS locator in the unmanned aerial vehicle by using the anomaly detector, and transmitting the initial data to the processor;
step 2: the anomaly detector detects data once every 2 minutes and transmits the detected data to the processor, and when the difference between the initial data stored in the processor and the real-time detected data exceeds 20%, an alarm is started to give an alarm after the initial data is amplified by the image amplifier;
and step 3: the information acquisition module integrates the information acquired by the optical remote sensor, the multispectral scanning imager and the GPS locator and transmits the integrated information to the processor for processing through the information transmitting module and the information receiving module;
and 4, step 4: and the information processed by the processor is amplified by the image amplifier and then displayed on the display, so that the information is convenient to observe.
The invention has the beneficial technical effects that: according to the unmanned aerial vehicle remote sensing detection system and the remote sensing detection method, an abnormal detector, a processor, an image amplifier and an alarm are combined into an abnormal alarm chain, the abnormal detector detects data once every 2 minutes and transmits the detected data to the processor, when the difference between initial data stored in the processor and the real-time detected data exceeds 20%, the alarm is started to give an alarm after the initial data and the real-time detected data are amplified by the image amplifier, the accuracy of information acquisition of an information acquisition module can be monitored in real time, and the condition that the acquired data are inaccurate due to the error of one instrument and convenient to find and adjust in time is prevented; the information acquisition display chain is arranged, and the image amplifier is added to the information acquisition display chain, so that the processed data can be amplified conveniently and can be checked conveniently.
Drawings
Fig. 1 is a schematic system structure diagram of an unmanned aerial vehicle remote sensing system and a remote sensing method according to a preferred embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention more clear and definite for those skilled in the art, the present invention is further described in detail below with reference to the examples and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
The first embodiment is as follows:
as shown in fig. 1, the remote sensing system of the unmanned aerial vehicle provided by this embodiment includes an information collecting module for collecting information on the ground, an information transmitting module for transmitting the information collecting module, an information receiving module for receiving the information collected by the information collecting module, and a processor, where the information collecting module includes an optical remote sensor, and a GPS locator, an output end of the information receiving module is connected with the processor, an output end of the processor is connected with an image amplifier, an output end of the image amplifier is connected with an alarm and a display, an input end of the GPS locator is connected with an anomaly detector, an input end of the optical remote sensor is connected with an automatic calibrator and an anomaly detector, an input end of the multispectral scanning imager is connected with an anomaly detector and a damping module, and the anomaly detector, the processor, the image amplifier, and the alarm form an anomaly alarm chain, the anomaly detector detects data once every 2 minutes and transmits the detected data to the processor, when the difference between initial data stored in the processor and real-time detected data exceeds 20%, the alarm is started to give an alarm after the initial data and the real-time detected data are amplified by the image amplifier, the accuracy of information acquisition of the information acquisition module can be monitored in real time, and the inaccuracy of the acquired data caused by the error of one instrument is prevented, so that the data can be found and adjusted in time; the information acquisition display chain is arranged, and the image amplifier is added to the information acquisition display chain, so that the processed data can be amplified conveniently and can be checked conveniently.
In this embodiment, as shown in fig. 1, the automatic calibrator controls the detection direction of the optical remote sensor, the damping module assists the multispectral scanning imager to scan and collect images, the anomaly detector, the processor, the image amplifier and the alarm constitute an anomaly alarm chain, the image amplifier amplifies the information processed by the processor, the information is convenient to display on the display, the damping module can change the vibration generated by the multispectral scanning imager when the unmanned aerial vehicle turns in the air, so as to assist the multispectral scanning imager to normally scan without shaking, the automatic calibrator can help the optical remote sensor to normally transmit and receive electromagnetic waves after shaking, and prevent the electromagnetic wave signal from being received and transmitted inaccurately.
In this embodiment, as shown in fig. 1, the anomaly detector detects an optical remote sensor, a multispectral scanning imager and a GPS locator, the anomaly detector is an NPW-160 type anomaly detector, the information acquisition module, the information transmission module, the information reception module, the processor, the image amplifier and the display constitute an information acquisition display chain, the information acquisition display chain is provided, and the image amplifier is added to the information acquisition display chain to facilitate amplification of processed data for viewing.
A remote sensing detection method of an unmanned aerial vehicle remote sensing detection system comprises the following steps:
step 1: starting the unmanned aerial vehicle, detecting and collecting initial data of an optical remote sensor, a multispectral scanning imager and a GPS (global positioning system) positioner in the unmanned aerial vehicle by using an anomaly detector, and transmitting and storing the initial data into a processor for data calibration;
step 2: the anomaly detector detects data once every 2 minutes and transmits the detected data to the processor, and when the difference between the initial data stored in the processor and the real-time detected data exceeds 20%, the data is amplified by the image amplifier and then an alarm is started to give an alarm;
and step 3: the information acquisition module integrates information acquired by the optical remote sensor, the multispectral scanning imager and the GPS locator, transmits the integrated information to the processor through the information transmitting module and the information receiving module for processing, and records and stores data;
and 4, step 4: the information processed by the processor is amplified by the image amplifier and then displayed on the display, so that the information is convenient to observe.
In summary, in this embodiment, according to the remote sensing system and the remote sensing method for the unmanned aerial vehicle of this embodiment, the anomaly detector, the processor, the image amplifier and the alarm constitute an anomaly alarm chain, the anomaly detector detects data once every 2 minutes and transmits the detected data to the processor, when the difference between the initial data stored in the processor and the real-time detected data exceeds 20%, the alarm is started to alarm after being amplified by the image amplifier, the accuracy of information acquisition by the information acquisition module can be monitored in real time, and inaccurate acquired data caused by an error of an instrument is prevented, so that the inaccurate acquired data can be found and adjusted in time; be equipped with information acquisition show chain and add image amplifier on information acquisition show chain and be convenient for enlarge the data after handling and be convenient for look over, shock-absorbing module can change the vibrations that unmanned aerial vehicle produced when the air flight turns and end to multispectral scanning imager to supplementary multispectral scanning imager can normally scan and not take place to rock, and the automatic calibration ware can help the optical remote sensor normally launch after rocking and receive the electromagnetic wave, prevents to receive and launch electromagnetic wave signal inaccurate.
The above description is only for the purpose of illustrating the present invention and is not intended to limit the scope of the present invention, and any person skilled in the art can substitute or change the technical solution of the present invention and its conception within the scope of the present invention.
Claims (9)
1. An unmanned aerial vehicle remote sensing detection system is characterized by comprising an information acquisition module for acquiring information on the ground, an information transmitting module for transmitting the information acquisition module, an information receiving module for receiving the information acquired by the information acquisition module and a processor, the information acquisition module comprises an optical remote sensor, an optical remote sensor and a GPS positioner, the output end of the information receiving module is connected with a processor, the output end of the processor is connected with an image amplifier, the output end of the image amplifier is connected with an alarm and a display, the input end of the GPS locator is connected with an abnormality detector, the input end of the optical remote sensor is connected with an automatic calibrator and the abnormality detector, the input end of the multispectral scanning imager is connected with the abnormality detector and the damping module.
2. The remote sensing system of claim 1, wherein the automatic calibrator controls the sensing direction of the optical remote sensor.
3. The remote sensing system of claim 1, wherein the shock absorption module assists the multispectral scanning imager in scanning and capturing images.
4. The remote sensing system of claim 1, wherein the anomaly detector, the processor, the image amplifier, and the alarm comprise an anomaly alarm chain.
5. The remote sensing system of claim 1, wherein the image amplifier amplifies the information processed by the processor for display on the display.
6. The remote sensing system of claim 1, wherein the anomaly detector detects the optical remote sensor, the multispectral scanning imager, and the GPS locator.
7. The remote sensing system of claim 6, wherein the anomaly detector is a model NPW-160 anomaly detector.
8. The remote sensing system of claim 1, wherein the information collection module, the information transmission module, the information reception module, the processor, the image amplifier, and the display form an information collection display chain.
9. A remote sensing method of an unmanned aerial vehicle remote sensing system is characterized by comprising the following steps:
step 1: starting the unmanned aerial vehicle, detecting initial data of the optical remote sensor, the multispectral scanning imager and the GPS locator in the unmanned aerial vehicle by using the anomaly detector, and transmitting the initial data to the processor;
step 2: the anomaly detector detects data once every 2 minutes and transmits the detected data to the processor, and when the difference between the initial data stored in the processor and the real-time detected data exceeds 20%, an alarm is started to give an alarm after the initial data is amplified by the image amplifier;
and step 3: the information acquisition module integrates the information acquired by the optical remote sensor, the multispectral scanning imager and the GPS locator and transmits the integrated information to the processor for processing through the information transmitting module and the information receiving module;
and 4, step 4: and the information processed by the processor is amplified by the image amplifier and then displayed on the display, so that the information is convenient to observe.
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Publication number | Priority date | Publication date | Assignee | Title |
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CN112729248A (en) * | 2020-12-18 | 2021-04-30 | 湖南文理学院 | Remote sensing detection system and method based on unmanned aerial vehicle platform |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN203350719U (en) * | 2013-07-03 | 2013-12-18 | 广州地理研究所 | Multispectral remote sensing system of single rotor micro unmanned plane |
CN104154997A (en) * | 2014-07-16 | 2014-11-19 | 北京空间机电研究所 | Unmanned aerial vehicle mounted light and small-sized self-stabilized flight multispectral imaging system |
CN205719940U (en) * | 2016-04-07 | 2016-11-23 | 河北省环境监测中心站 | High precision small Aerial Multispectral Remote Sensing system |
CN106774080A (en) * | 2016-12-30 | 2017-05-31 | 西安天和防务技术股份有限公司 | Land resources monitoring system |
WO2017099570A1 (en) * | 2015-12-11 | 2017-06-15 | Pacheco Sanchez José Antonio | System and method for precision agriculture by means of multispectral and hyperspectral aerial image analysis using unmanned aerial vehicles |
US9945828B1 (en) * | 2015-10-23 | 2018-04-17 | Sentek Systems Llc | Airborne multispectral imaging system with integrated navigation sensors and automatic image stitching |
CN109151413A (en) * | 2018-10-10 | 2019-01-04 | 泉州市敏匠智能科技有限公司 | A kind of unmanned plane image intelligent processing system |
CN109977901A (en) * | 2019-04-03 | 2019-07-05 | 山东理工大学 | A kind of corn weeds in field recognition methods based on unmanned aerial vehicle remote sensing |
-
2019
- 2019-09-03 CN CN201910827247.3A patent/CN110726675A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN203350719U (en) * | 2013-07-03 | 2013-12-18 | 广州地理研究所 | Multispectral remote sensing system of single rotor micro unmanned plane |
CN104154997A (en) * | 2014-07-16 | 2014-11-19 | 北京空间机电研究所 | Unmanned aerial vehicle mounted light and small-sized self-stabilized flight multispectral imaging system |
US9945828B1 (en) * | 2015-10-23 | 2018-04-17 | Sentek Systems Llc | Airborne multispectral imaging system with integrated navigation sensors and automatic image stitching |
WO2017099570A1 (en) * | 2015-12-11 | 2017-06-15 | Pacheco Sanchez José Antonio | System and method for precision agriculture by means of multispectral and hyperspectral aerial image analysis using unmanned aerial vehicles |
CN205719940U (en) * | 2016-04-07 | 2016-11-23 | 河北省环境监测中心站 | High precision small Aerial Multispectral Remote Sensing system |
CN106774080A (en) * | 2016-12-30 | 2017-05-31 | 西安天和防务技术股份有限公司 | Land resources monitoring system |
CN109151413A (en) * | 2018-10-10 | 2019-01-04 | 泉州市敏匠智能科技有限公司 | A kind of unmanned plane image intelligent processing system |
CN109977901A (en) * | 2019-04-03 | 2019-07-05 | 山东理工大学 | A kind of corn weeds in field recognition methods based on unmanned aerial vehicle remote sensing |
Non-Patent Citations (1)
Title |
---|
李风贤: "无人机技术在草原生态遥感监测中的应用与探讨", 《测绘通报》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112729248A (en) * | 2020-12-18 | 2021-04-30 | 湖南文理学院 | Remote sensing detection system and method based on unmanned aerial vehicle platform |
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