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.