A Method of Pseudo-Color Processing for Synthetic Aperture Radar Grayscale Image

Abstract

A method for performing pseudo-color processing on synthetic aperture radar grayscale images relates to image processing. The method comprises the following steps: 1) performing filter preprocessing on the input SAR image to suppress speckle noise; 2) performing segmentation encoding on the gray value of the SAR image; 3) performing RGB band combination to form a pseudo-color enhanced image. The image enhanced by false color contains rich color information, with outstanding details and clear texture, and has a good visual effect on both land and sea. The present invention is similar in time to the rainbow coded pseudo-color process, and nearly 4 times faster than the pixel-by-pixel transformation method. High calculation efficiency, simple and practical. In addition, not only can false color enhancement be performed on SAR images, but it is also suitable for other gray-scale images with narrow gray scale range and large noise, and has good versatility. The grayscale image is processed by pseudo-color to enrich and highlight the useful and detailed information of the ground features, which is convenient for visual interpretation.

Description

technical field [0001] The invention relates to image processing, in particular to a method for pseudo-color processing of synthetic aperture radar grayscale images. Background technique [0002] Synthetic Aperture Radar (SAR) has the characteristics of all-day, all-weather, and unaffected by severe weather. It can penetrate clouds and has unique advantages in space-to-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 in domestic universities, and also the first C-band light and small SAR satellite in the world. 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 observing oceans and land. However, unlike optical remote sens...

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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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