Vector quantization of raw polarimetric SAR data by using their statistical properties

Xavier Morin; Dominique Barba; Safwan El Assad

doi:10.1117/12.295594

22 December 1997 Vector quantization of raw polarimetric SAR data by using their statistical properties

Xavier Morin, Dominique Barba, Safwan El Assad

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295594
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

Satellite radar imaging requires the transmission of a huge amount of data, since the image reconstruction can not usually be directly accomplished on board. A compression scheme is therefore needed. The current image resolutions do not allow lossless type of coding. The statistical properties of the signal are besides often discarded. However, the correlation of this signal can be exploited in order to increase the compression algorithms performances. This paper shows compression techniques examples and the contribution of the statistical properties of the signal for compression purpose.

Citation Download Citation

Xavier Morin, Dominique Barba, and Safwan El Assad "Vector quantization of raw polarimetric SAR data by using their statistical properties", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295594

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