A Method for Correcting Saturation Effect in SAR Raw Data Based on Dynamic Decoding
Qiu Xiao-lan①②③ Han Chuan-zhao① Hu Ding-sheng②③ Ding Chi-biao③
①(Beijing Institute of Remote Sensing Information, Beijing 100192, China) ②(Key Laboratory of Technology on Geo-spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China) ③(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
Abstract：Caused by the limited quantization dynamic range of the spaceborne SAR, the echo saturation phenomenon happens between timesduring spaceborne SAR data acquiring. In this paper, saturation correction methods based on dynamic decoding are proposed for uniform quantization and Block Adaptive Quantization (BAQ), which are two of the most commonly used quantization method in spaceborne SAR. The dynamic decoding methods can alleviate the image power loss caused by saturation, improve the radiation precision, and enhance the image signal-to-noise ratio. The simulation results validate the effectiveness of the proposed methods.
仇晓兰, 韩传钊, 胡丁晟, 丁赤飚. 一种基于动态解码的SAR原始数据饱和校正方法[J]. 电子与信息学报, 2013, 35(9): 2147-2153.
Qiu Xiao-Lan, Han Chuan-Zhao, Hu Ding-Sheng, Ding Chi-Biao. A Method for Correcting Saturation Effect in SAR Raw Data Based on Dynamic Decoding. , 2013, 35(9): 2147-2153.
2013, Vol. 35 
