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Analysis of the quantization and saturation error for space-borne SAR raw data compression algorithm in data domain
Received date: 2010-03-10
Revised date: 2010-05-12
Online published: 2011-01-20
In this paper, the analytical formula of the quantization and saturation error induced by block adaptive quantization (BAQ) and Interception of High (IH) compression algorithms are derived. Moreover, the relationship between the standard deviation of input echo signal (SDIS) and the Signal-to-noise ratio (SNR) of these two compression algorithms is given. Finally, our method is verified by using simulated SAR raw data and real data, and is shown to be a good criterion for choosing SAR raw data compression ratio.
HUA Bin , QI Hai-Ming , LI Xin , ZHANG Ping . Analysis of the quantization and saturation error for space-borne SAR raw data compression algorithm in data domain[J]. Journal of University of Chinese Academy of Sciences, 2011 , 28(1) : 94 -100 . DOI: 10.7523/j.issn.2095-6134.2011.1.014
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