Title :
DPCM compression of SAR raw data
Author :
Magli, Enrico ; Olmo, Gabriella
Author_Institution :
Dipt. di Elettron., Politec. di Torino, Turin, Italy
Abstract :
In this paper we investigate the use of DPCM compression for SAR raw data. We apply results from Wiener theory to analyze the statistics of SAR raw data. On the basis of this analysis, a DPCM-based compression algorithm named DPCM-BAQ is proposed. The performance of this algorithm is compared with that of BAQ, showing a significant improvement. Overall, in the cases considered, DPCM-BAQ achieves SNR in excess of up to 2.4 dB with respect to BAQ.
Keywords :
data compression; differential pulse code modulation; image coding; quantisation (signal); radar imaging; stochastic processes; synthetic aperture radar; DPCM-BAQ algorithm; Innsbruck image; SAR raw data DPCM compression algorithm; SAR raw data statistics; SNR; Wiener theory; block adaptive quantization; synthetic aperture radar; Computational modeling; Correlation; Data models; Decorrelation; Facsimile; Satellites; Signal to noise ratio;
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
