Method for carrying out pseudo-color processing on gray level image of synthetic aperture radar

Abstract

The invention discloses a method for carrying out pseudo-color processing on a gray level image of a synthetic aperture radar and relates to image processing. The method comprises the following steps: 1) filtering an input SAR image to suppress speckle noise; 2) carrying out segmented coding on the gray value of the SAR image; and 3) carrying out RGB wave band combination to form a pseudo-color enhanced image. The image subjected to pseudo-color enhancement contains rich color information, is prominent in details and clear in texture, and has a good visual effect on both land and ocean. The time used by the method is similar to that used by rainbow coding pseudo-color processing, and is nearly four times faster than that used by a pixel self-transformation method. The invention is high in calculation efficiency, simple and practical. In addition, pseudo-color enhancement can be carried out on the SAR image, and the invention is also suitable for other gray-scale images with narrow gray-scale range and large noise, and has good universality. The gray level image is processed by pseudo-color to enrich and highlight useful and detailed information of ground features, so that visual interpretation is facilitated.

Description

technical field [0001] The invention relates to image processing, in particular to a method for performing pseudo-color processing on synthetic aperture radar grayscale images. Background technique [0002] Synthetic Aperture Radar (SAR) has the observation characteristics of all-day, all-weather, not affected by bad weather, can penetrate clouds, and has unique advantages in space earth observation and military reconnaissance (Wang Zhongjiao. Based on regularization Research on Pseudo-color Enhancement Method of Single-polarization SAR Image[D].2015). Haisi-1 is the first offshore and coastal remote sensing satellite for domestic universities, and also the world's first C-band light and small SAR satellite. It was launched on December 22, 2020. It provides strong support for remote sensing inversion, marine disaster monitoring, flood detection and surface deformation analysis. At present, SAR remote sensing images have become an important data source for ocean and land ob...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problems that the existing SAR image pseudo-color enhancement method has low calculation efficiency, and the image texture and edge area false-color effect is not strong. The present invention starts from the scattering characteristics of the SAR image itself and integrates linear coding and nonlinear coding. The advantages of the proposed an improved segmented gray-color transformation method

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