Target area optimal image selection method and system, storage medium, electronic equipment
A target area and image technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of inability to meet automatic retrieval, large labor and time, and low selection efficiency, achieve automatic, efficient and rapid selection, and reduce time costs. and labor costs, the effect of improving efficiency
Active Publication Date: 2022-01-25
SUZHOU ZHONGKE IMAGE SKY REMOTE SENSING TECH CO LTD
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[0004] In order to overcome the deficiencies of the prior art, the present invention proposes a method for selecting the optimal image of the target area, which solves the problem that the existing selection of the optimal image of the target area by purely manual vision consumes a lot of manpower and time, the selection efficiency is low, and it cannot The problem of meeting the needs of actual engineering automation retrieval
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[0040] Below, the present invention will be further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of not conflicting, the various embodiments described below or the technical features can be combined arbitrarily to form new embodiments. .
[0041] The optimal image selection method for the target area, such as figure 1 , figure 2 shown, including the following steps:
[0042] S0, generate cloud-free images, identify cloud areas on remote sensing images of several target areas, mark cloud areas, record cloud area pixels with fixed gray values, sample cloud-free areas of remote sensing images of several target areas, and generate several targets Regional image information, the location corresponding to the cloud area in the image information of the target area is configured to be non-displayable. In order to improve the processing efficiency and operability of the image information, the ...
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The invention provides a method for selecting an optimal image in a target area, which includes the steps of generating a cloud-free image, generating an image list, arranging the sequence of images, selecting candidate images, and selecting the optimal image. The present invention also relates to a target area optimal image selection system, a storage medium, and an electronic device; the present invention performs cloud area detection on the target area image, generates target area image information, and intersects the geographic coordinates of the target area image information with the target area vector, Determine the image information in the target area, sort the image information of the target area according to the percentage of the area of the cloud-free area, and select the image information of the sorted target area in order that can completely cover the target area and have a small number and fewer clouds on the image. Image, the present invention realizes automatic and efficient rapid selection of the optimal image for a large number of redundant images in the target area, greatly improves the efficiency of optimal image selection in the target area, reduces time cost and labor cost, and meets the needs of actual engineering automatic retrieval.
Description
technical field [0001] The invention belongs to the technical field of image processing of optical satellite remote sensing images, and relates to an optimal image selection method for a target area based on cloud-free images. Background technique [0002] Represented by Gaofen-1, Gaofen-2 and Gaofen-6, the design indicators of domestic optical remote sensing satellites have gradually reached the international advanced level, the earth observation system is becoming more and more perfect, the ability of multi-satellite coordinated observation is gradually improving, and the satellite's The revisit cycle has also been shortened, allowing satellites to image the same target area multiple times in a short period of time. This leads to a rapid increase in the data volume of satellite images in the same target area, and there are a large number of redundant images in the target area. However, optical remote sensing satellites cannot avoid being affected by various factors such as...
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IPC IPC(8): G06T7/62G06T7/33
CPCG06T7/33G06T7/62G06T2207/10032G06T2207/30192
Inventor 胡旭东胡晓东卢毅邱季雯张骏源李明明
Owner SUZHOU ZHONGKE IMAGE SKY REMOTE SENSING TECH CO LTD