Remote sensing image color homogenizing method and system based on histogram matching, equipment and medium

Abstract

The invention provides a remote sensing image color homogenizing method based on histogram matching. According to the technical scheme, the preset number of first preset wavebands corresponding to the to-be-corrected image and the same number of second preset wavebands corresponding to the base image are obtained, the medians of the first preset wavebands and the second preset wavebands are calculated one by one, and the medians of the first preset wavebands and the medians of the second preset wavebands are aligned one by one. each first preset wave band is divided into a first unit set and a second unit set by taking the median of each first preset wave band as a reference; each second preset wave band is divided into a third unit set and a fourth unit set by taking the median of the second preset wave band as a reference; and the first unit set is extended into a range of a third unit set corresponding to the number of digits, and the second unit set is extended into a range of a fourth unit set corresponding to the number of digits.

Description

technical field [0001] The present disclosure specifically discloses a method, system, device and medium for color uniformity of remote sensing images based on histogram matching. Background technique [0002] Remote sensing technology is a technology for detecting and identifying targets by sensing electromagnetic waves, visible light, and infrared rays reflected or radiated by targets from a long distance. Remote sensing images obtained based on remote sensing technology often require further processing to obtain the final image that can be interpreted easily for naked eye recognition. With the rapid development of computers and the continuous development of remote sensing technology, it has begun to use computer algorithms to make corresponding processing procedures to assist manual processing, which not only greatly reduces manpower and increases efficiency, but also is a major breakthrough in the field of remote sensing. [0003] With the development of the field of re...

AI Technical Summary

Problems solved by technology

[0005] However, there are still many disadvantages in the above-mentioned color uniformity processing method, such as: 1. Disadvantages of the direct manual color adjustment method through PS: adjust to the color closest to the base map through the human senses, no matter how much data is, it is not conducive to operation and consumes a lot of time. Time and effort, many factors can affect the result, different people may have different results when processing the same image

2. Disadvantages of simple linear stretching: Sometimes even if the pixels are stretched to the specified range, there may still be a large color difference

3. Disadvantages of the histogram matching method: If the background range in the image is too large and no background processing is performed, the histogram matching will cause the distribution of gray levels in a certain range to be too concentrated

4. Disadvantages of the Wallis filter's color uniformity method: it requires very complicated steps to verify the reference image and perform color uniformity on the image to be corrected

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