Pseudo-color coding method for high-dynamic single-polarization SAR images

Zicheng Feng, Xiaolin Liu, Bingzhi Pei · Ninth International Conference on Graphic and Image Processing (ICGIP 2017) · 2018

A raw synthetic aperture radar (SAR) image usually has a 16-bit or higher bit depth, which cannot be directly visualized on 8-bit displays. In this study, we propose a pseudo-color coding method for high-dynamic singlepolarization SAR images. The method considers the characteristics of both SAR images and human perception. In HSI (hue, saturation and intensity) color space, the method carries out high-dynamic range tone mapping and pseudo-color processing simultaneously in order to avoid loss of details and to improve object identifiability. It is a highly efficient global algorithm.

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