DYNAMIC RANGE CONVERSION FOR DIFFERENT TYPES OF SAR IMAGES
 

M. A. Guryanov
National Research University of Electronic Technology
 

The paper is received on December 3, 2014

 

Abstract: Raw SAR data contains amplitude and phase of a received signal in every moment of time. A typical SAR image has a dynamic range of 90 dB. In this paper we present new method to convert SAR image into regular digital grayscale image for decryption by the human.  Proposed method helps to solve such problems as: point scatter detection, monitoring the forest. Proposed method is based on Weber-Fechner law and statistical research of different SAR data types.

Key words: Radiolocation, SAR, SAR image processing.