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Proceedings Paper

Vector quantization of raw polarimetric SAR data by using their statistical properties
Author(s): Xavier Morin; Dominique Barba; Safwan El Assad
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Paper 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.

Paper Details

Date Published: 22 December 1997
PDF: 8 pages
Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); doi: 10.1117/12.295594
Show Author Affiliations
Xavier Morin, IRESTE (France)
Dominique Barba, IRESTE (France)
Safwan El Assad, IRESTE (France)


Published in SPIE Proceedings Vol. 3217:
Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing
Jacky Desachy; Shahram Tajbakhsh, Editor(s)

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