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Volume 29 Issue 9
Jan.  2011
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Zhou Mei, Zhang Zhi-min, Deng Yun-kai . Research on the Saturated Raw Data Correction Method for SAR Application[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2114-2116. doi: 10.3724/SP.J.1146.2006.00297
Citation: Zhou Mei, Zhang Zhi-min, Deng Yun-kai . Research on the Saturated Raw Data Correction Method for SAR Application[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2114-2116. doi: 10.3724/SP.J.1146.2006.00297

Research on the Saturated Raw Data Correction Method for SAR Application

doi: 10.3724/SP.J.1146.2006.00297
  • Received Date: 2006-03-17
  • Rev Recd Date: 2006-07-28
  • Publish Date: 2007-09-19
  • This paper studies a correction method for saturated Synthetic Aperture Radar (SAR) raw data based on optimal quantization theory. The method counts the standard deviation of the data and adjusts the data using a certain gain function. The results of simulation indicate this method can do good to radar signal processing.
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  • Nocoll J, Gens R, and Denny P. Pre-processing compensation for saturation power loss in SAR data. IEEE Geoscience and Remote Sensing Symposium, Toronto, Canada, 2002,vol.5: 2744-2746.[2]陈海波,胡东辉,丁赤飚,吴一戎. 基于韦布尔模型的合成孔径雷达数据饱和校正方法研究[J].电子与信息学报.2005, 27(5):775-778浏览[3]Max Joel. Quantizing for minimum distortion[J].IEEE Trans,on Information Theory.1960, 6(1):7-12[4]吴乐南.数据压缩. 北京:电子工业出版社,第一版,2003:11-15.[5]赵宇鹏.合成孔径雷达原始数据实用压缩算法研究.[硕士论文],中国科学院研究生院, 2003.
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