Remote sensing image processing method and device and server

Abstract

The invention provides a remote sensing image processing method and device and a server. The method comprises the steps: after a target remote sensing image for a target area is obtained, processing the target remote sensing image firstly to obtain a corresponding target gray level image; carrying out histogram-based equalization processing on the target grayscale image according to a preset equalization processing rule to obtain an equalized target grayscale image; and detecting a target building in the target area according to the equalized target grayscale image. The histogram-based equalization processing is performed on the target grayscale image according to the preset equalization processing rule, so that the equalized target grayscale image with a large grayscale dynamic range, a high contrast ratio and richer image details can be obtained; and then, the target building in the target area can be accurately detected and identified from the remote sensing image based on the equalized target grayscale image, so that the detection error is reduced, and the detection precision is improved.

Description

technical field [0001] This specification belongs to the technical field of remote sensing image processing, and in particular relates to a remote sensing image processing method, device and server. Background technique [0002] When performing target detection on remote sensing images acquired in some complex scenes (for example, scenes with a high degree of fusion between the target and the background environment), the accuracy is often low, and it is easy to appear such as misjudgment of the background environment as the target object, or Misjudging the target object as the background environment and other detection errors. [0003] For the above problems, no effective solution has been proposed yet. Contents of the invention [0004] This specification provides a remote sensing image processing method, device and server, so as to accurately detect and identify target buildings in a target area from remote sensing images, reduce detection errors, and improve detection ...

AI Technical Summary

Problems solved by technology

[0002] When performing target detection on remote sensing images acquired in some complex scenes (for example, scenes with a high degree of fusion between the target and the background environment), the accuracy is often low, and it is easy to appear such as misjudgment of the background environment as the target object, or Detection errors such as misjudging the target object as the background environment

[0003] For the above problems, no effective solution has been proposed

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