Predictive coding of SAR phase history data

In this article we evaluate the use of predictive coding for compression of SAR phase history data. We first show that the data are mainly correlated along range lines. Then, we exploit this result to define a new DPCM-based compression algorithm named RDPCM-BAQ. The performance of this algorithm is compared with that of BAQ on SIR-C/X-SAR data, showing a significant improvement in signal-to-noise ratio of up to 2 dB with respect to BAQ.

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

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

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

[4]  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.

[5]  Peter No,et al.  Digital Coding of Waveforms , 1986 .

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

[7]  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).