CN113536010A - Local remote sensing image updating method and device - Google Patents
Local remote sensing image updating method and device Download PDFInfo
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Abstract
The invention discloses a local remote sensing image updating method, which comprises the following steps: obtaining an old remote sensing image and a local updating area geographical range; the specific steps of constructing a vector plane according to the old remote sensing image and the geographical coordinate range of the local updating area are as follows: performing spatial topology operation on the old remote sensing image and the local updating region vector surface, and establishing an association relation between the old remote sensing image and the local updating region vector surface and the image; performing histogram matching on the old remote sensing image and the local updating area according to the incidence relation; the feathering treatment is carried out on the connecting edge of the old remote sensing image and the local updating area according to the incidence relation, the problem that the connecting edge of the new and old remote sensing images has obvious chromatic aberration and gaps can be effectively solved, and the new and old remote sensing images have a gradual change effect so as to achieve the effect of natural connection.
Description
Technical Field
The invention relates to a method and a device for updating local remote sensing images, and belongs to the technical field.
Background
The remote sensing image is a film or a photo for recording the electromagnetic wave size of various ground objects and is mainly divided into an aerial photo and a satellite photo; at present, the local updating of remote sensing images is mostly realized by directly constructing vector elements and directly embedding new remote sensing images and old remote sensing images to form a new remote sensing image.
The traditional remote sensing image local updating method is to directly construct vector elements to directly inlay the new remote sensing image and the old remote sensing image, so that obvious chromatic aberration and gaps are formed at the joint of the new image and the old image due to the processing.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a method and a device for updating local remote sensing images, which can effectively solve the problem that the joint of new and old remote sensing images has obvious chromatic aberration and gaps, so that the new and old remote sensing images have a gradual change effect and a natural connection effect is achieved.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides a method for updating a local remote sensing image, including the following steps:
obtaining an old remote sensing image and a local updating area geographical range;
constructing a vector plane according to the old remote sensing image and the local updating region geographic coordinate range, and specifically comprising the following steps:
carrying out space topology operation on the old remote sensing image and the vector plane of the local update region,
establishing an incidence relation between the old remote sensing image and the local updating region vector plane and the image;
performing histogram matching on the old remote sensing image and the local updating area according to the incidence relation;
and performing feathering treatment on the connecting edge of the old remote sensing image and the local updating area according to the incidence relation.
Further, the method for obtaining the old remote sensing image and the local updating regional geographical range comprises the following specific steps:
calculating coordinates of four corner points of the old remote sensing image according to the width and height information of the image and the coordinate conversion relation between the image space and the object space;
and for the acquisition of the geographical range of the local updating area, each vertex coordinate of the polygonal area is obtained by drawing the polygonal area for acquisition.
Further, the constructing a vector plane according to the old remote sensing image and the local update region geographic coordinate range further includes: and constructing the coordinate range of the old remote sensing image and the geographic coordinate range of the local updating area into a vector data mode, wherein the vector data expresses the spatial position of the geographic entity in a mode of recording the geographic coordinate.
Further, the spatial topology operation is performed through a series of logical comparisons based on points in one or more geometric figures, and then returns other geometric figures including convex polygons, cuts, differences, intersections, symmetric differences, and unions.
Further, the spatial topology operation is performed on the old remote sensing image and the vector plane of the local update region, and the method specifically includes the following steps: and performing differential operation on the two vector surfaces, after topological operation, forming a vector surface with a cavity on the old remote sensing image vector surface, forming a vector surface for filling the cavity on the vector surface of the local updating area, and after differential operation, performing union operation on the two vector surfaces to form a vector surface with two vector element attributes.
Further, the method for establishing the association relationship between the old remote sensing image and the local update region vector plane and the image comprises the following specific steps: and respectively corresponding the attributes of the two vector elements to the full path of the file of the old remote sensing image and the full path of the file of the updated remote sensing image.
Further, the histogram matching of the old remote sensing image and the local update area according to the association relationship comprises the following specific steps:
reading data information of each wave band of an old remote sensing image to obtain cumulative histogram information of each wave band;
reading data information of each wave band in a local updating area to obtain cumulative histogram information of each wave band;
comparing the old remote sensing image with each gray level of each wave band of the local updating area to obtain a mapping relation: finding the closest point of the two cumulative histograms;
the local update region grays are mapped to new grays.
Further, the feathering of the connecting edge between the old remote sensing image and the local update area according to the incidence relation comprises the following specific steps:
determining a feather radius, and compressing the local update region polygon and corresponding size of the outer frame according to the feather radius;
and calculating pixel values by a weighted smoothing algorithm according to the polygon inner region of the local updating region and the outer frame region, namely the image overlapping region.
In a second aspect, the present invention provides a local remote sensing image updating terminal, including a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any of the above.
In a third aspect, the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method and a device for updating a local remote sensing image, wherein an old remote sensing image and a local updating area geographical range are obtained; the method comprises the steps of constructing a vector plane according to an old remote sensing image and a geographical coordinate range of a local updating region, carrying out histogram matching on the old remote sensing image and the local updating region according to an incidence relation, and carrying out feathering on a connecting edge of the old remote sensing image and the local updating region according to the incidence relation, so that obvious chromatic aberration and gaps can be effectively solved at the connecting edge of the old remote sensing image and the new remote sensing image, and the old remote sensing image and the new remote sensing image have a gradual change effect so as to achieve a natural connection effect.
Drawings
Fig. 1 is a flowchart of a method for updating a local remote sensing image according to an embodiment of the present invention;
fig. 2 is a weighted smoothing algorithm diagram of a local remote sensing image updating method according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1
As shown in fig. 1 and fig. 2, a method for updating a local remote sensing image according to an embodiment of the present invention includes the following steps:
s10: and obtaining the old remote sensing image and the local updating area geographical range.
Generally, the old remote sensing image is an image product of an original remote sensing image which is corrected and eliminated by a certain mathematical model in a deformation process generated by the image, the corrected remote sensing image data already has geographic information, most of the image information is overlapped with an actual ground object, and the coordinates of four corner points of the old remote sensing image can be easily calculated according to the width and height information of the image and the coordinate conversion relation between an image space and an object space. For the acquisition of the geographical range of the local update area, the acquisition is generally performed by drawing a polygonal area and obtaining coordinates of each vertex of the polygonal area.
S20: and constructing a vector plane according to the old remote sensing image and the local updating region geographic coordinate range.
In order to accurately and individually replace the local update area, the coordinate range of the old remote sensing image and the geographic coordinate range of the local update area need to be constructed into a vector data mode, and the vector data generally represents the spatial position of the geographic entity as accurately as possible by recording the geographic coordinate.
S21: and performing spatial topology operation on the old remote sensing image and the vector plane of the local updating region.
The spatial topology operation is performed through a series of logical comparisons between points based on one or more geometries, and then returns additional geometries. Generally including convex polygons, cuts, differences, intersections, symmetric differences, unions, and the like. The vector surfaces of the old remote sensing image and the local updating area are subjected to space topological operation, namely the two vector surfaces are subjected to differential operation, the vector surfaces of the old remote sensing image can form a vector surface with a cavity after topological operation, the vector surface of the local updating area is just the vector surface for filling the cavity, and after differential operation, the two vector surfaces are subjected to union operation to finally form a vector surface with two vector element attributes.
S22: and establishing an association relation between the old remote sensing image and the local updating region vector plane and the image.
The local information replacement of the remote sensing image is essentially to combine two remote sensing digital images with geographic information and containing relations into a new unified remote sensing image through a mosaic color evening technology, and in order to achieve the purpose, an incidence relation needs to be established between an old remote sensing image and a local updating region vector plane and the image, namely two vector element attributes respectively correspond to a file full path of the old remote sensing image and a file full path of the updated remote sensing image.
S30: and performing histogram matching on the old remote sensing image and the local updating region according to the incidence relation.
After the local information of the remote sensing image is replaced, the local updated information and the old remote sensing image often have color difference, and obvious color difference is formed. Both need to be histogram matched. I.e. the histogram of the local information is matched to the old remote sensing image. The color tones of the two images are kept consistent, and the basic steps are as follows:
and S31, reading the data information of each wave band of the old remote sensing image to obtain the cumulative histogram information of each wave band.
And S32, reading the data information of each wave band in the local updating area to obtain the cumulative histogram information of each wave band.
S33, comparing the old remote sensing image with each gray level of each wave band of the local updating area to obtain a mapping relation: the two closest points of the cumulative histogram are found.
And S34, locally updating the regional gray scale to map to the new gray scale.
S40: and performing feathering treatment on the connecting edge of the old remote sensing image and the local updating area according to the incidence relation.
The obvious color difference between the local update information and the old remote sensing image can be eliminated to a great extent by the processing of step S30, but there is still an obvious color difference at the border between the old remote sensing image and the local update area. At the moment, feathering treatment is needed to ensure that the internal and external connection parts of the selected area are weakened to play a gradual change role so as to achieve the effect of natural connection, and the basic steps are as follows:
and S41, determining the feather radius, and compressing the local update area polygon and corresponding size of the outer frame according to the feather radius.
And S42, locally updating the polygon inner region and the outer frame region, namely the image overlapping region, wherein the gray value Pixel of the Pixel point in the region is obtained by weighted average of the gray values Pixel _ L and Pixel __ R of the corresponding points in the two images. I.e. Pixel x Pixel L + (1-k) x Pixel R, where k is a tunable factor, fig. 2 is a weighted smoothing algorithm diagram.
Normally, 0< k <1, i.e. in the overlapping area, k is gradually changed from 1 to 0 along the direction from image 1 to image 2, so as to realize smooth stitching of the overlapping area, and in order to make points in the overlapping area of the images establish a greater correlation with the two images, k is d1/(d1+ d2), where d1 and d2 respectively represent the distances from the points in the overlapping area to the left boundary and the right boundary of the overlapping area of the two images, i.e. edge-joining processing is performed by using the formula Pixel k × Pixel _ L + (1-k) × Pixel _ R.
The invention provides a method and a device for updating a local remote sensing image, wherein an old remote sensing image and a local updating area geographical range are obtained; the method comprises the steps of constructing a vector plane according to an old remote sensing image and a geographical coordinate range of a local updating region, carrying out histogram matching on the old remote sensing image and the local updating region according to an incidence relation, and carrying out feathering on a connecting edge of the old remote sensing image and the local updating region according to the incidence relation, so that obvious chromatic aberration and gaps can be effectively solved at the connecting edge of the old remote sensing image and the new remote sensing image, and the old remote sensing image and the new remote sensing image have a gradual change effect so as to achieve a natural connection effect.
Example 2
The invention provides a local remote sensing image updating terminal, which comprises a processor and a storage medium, wherein the processor is used for processing a local remote sensing image;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any of embodiment 1.
The invention provides a local remote sensing image updating terminal, which can effectively solve the problem that the joint of a new remote sensing image and an old remote sensing image has obvious chromatic aberration and gaps by executing the steps of the method according to any one of embodiment 1, so that the new remote sensing image and the old remote sensing image have a gradual change effect and a natural connection effect is achieved.
Example 3
The present invention provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any of embodiment 1.
The invention provides a computer readable storage medium, which can effectively solve the problems of obvious chromatic aberration and gaps at the joint of the new and old remote sensing images by executing the steps of the method according to any one of embodiment 1, so that the new and old remote sensing images have a gradual change effect to achieve the effect of natural connection.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A local remote sensing image updating method is characterized by comprising the following steps:
obtaining an old remote sensing image and a local updating area geographical range;
constructing a vector plane according to the old remote sensing image and the local updating region geographic coordinate range, and specifically comprising the following steps:
carrying out space topology operation on the old remote sensing image and the vector plane of the local update region,
establishing an incidence relation between the old remote sensing image and the local updating region vector plane and the image;
performing histogram matching on the old remote sensing image and the local updating area according to the incidence relation;
and performing feathering treatment on the connecting edge of the old remote sensing image and the local updating area according to the incidence relation.
2. The local remote sensing image updating method according to claim 1, wherein the steps of obtaining the old remote sensing image and the local updating area geographical range comprise:
calculating coordinates of four corner points of the old remote sensing image according to the width and height information of the image and the coordinate conversion relation between the image space and the object space;
and for the acquisition of the geographical range of the local updating area, each vertex coordinate of the polygonal area is obtained by drawing the polygonal area for acquisition.
3. The local remote sensing image updating method according to claim 1, wherein the constructing of the vector plane according to the old remote sensing image and the local updating region geographical coordinate range further comprises: and constructing the coordinate range of the old remote sensing image and the geographic coordinate range of the local updating area into a vector data mode, wherein the vector data expresses the spatial position of the geographic entity in a mode of recording the geographic coordinate.
4. The method of claim 1, wherein the spatial topology operation is performed by a series of logical comparisons based on points in one or more geometric figures, and then returns additional geometric figures including convex polygons, cuts, differences, intersections, symmetric differences, and unions.
5. The local remote sensing image updating method according to claim 4, wherein the spatial topology operation is performed on the old remote sensing image and the local updating region vector plane, and the method specifically comprises the following steps: and performing differential operation on the two vector surfaces, after topological operation, forming a vector surface with a cavity on the old remote sensing image vector surface, forming a vector surface for filling the cavity on the vector surface of the local updating area, and after differential operation, performing union operation on the two vector surfaces to form a vector surface with two vector element attributes.
6. The local remote sensing image updating method according to claim 1, wherein the step of establishing an association relationship between the old remote sensing image and the local updating region vector plane and the image comprises the following specific steps: and respectively corresponding the attributes of the two vector elements to the full path of the file of the old remote sensing image and the full path of the file of the updated remote sensing image.
7. The local remote sensing image updating method according to claim 1, wherein histogram matching is performed on the old remote sensing image and the local updating area according to the incidence relation, and the method comprises the following specific steps:
reading data information of each wave band of an old remote sensing image to obtain cumulative histogram information of each wave band;
reading data information of each wave band in a local updating area to obtain cumulative histogram information of each wave band;
comparing the old remote sensing image with each gray level of each wave band of the local updating area to obtain a mapping relation: finding the closest point of the two cumulative histograms;
the local update region grays are mapped to new grays.
8. The local remote sensing image updating method according to claim 1, wherein the feathering of the joint of the old remote sensing image and the local updating area according to the incidence relation comprises the following specific steps:
determining a feather radius, and compressing the local update region polygon and corresponding size of the outer frame according to the feather radius;
and calculating pixel values by a weighted smoothing algorithm according to the polygon inner region of the local updating region and the outer frame region, namely the image overlapping region.
9. A local remote sensing image updating terminal is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 8.
10. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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