DPCM compression of SAR raw data

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.

[1]  Ron Kwok,et al.  Block adaptive quantization of Magellan SAR data , 1989 .

[2]  Ian G. Cumming,et al.  On-board encoding of the ENVISAT wave mode data , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[3]  Alberto Moreira,et al.  A comparison of several algorithms for SAR raw data compression , 1995, IEEE Trans. Geosci. Remote. Sens..

[4]  Vito Pascazio,et al.  SAR phase history data compression by using wavelet packets , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[5]  Luisa Verdoliva,et al.  Compression of SAR raw data through range focusing and variable-rate trellis-coded quantization , 2001, IEEE Trans. Image Process..

[6]  Michael W. Marcellin,et al.  Rate allocation for spotlight SAR phase history data compression , 1997 .

[7]  K. H. Barratt.  Digital Coding of Waveforms , 1985 .