22 December 1997 Vector quantization of raw polarimetric SAR data by using their statistical properties
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xavier Morin, Xavier Morin, Dominique Barba, Dominique Barba, Safwan El Assad, 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); doi: 10.1117/12.295594; https://doi.org/10.1117/12.295594
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

First result from ALOS-2 operation
Proceedings of SPIE (November 18 2014)
RADARSAT-2 for search and rescue
Proceedings of SPIE (August 23 1999)
Radar imaging using ultrawideband stochastic waveforms
Proceedings of SPIE (November 15 2000)
Automatic change detection in spaceborne SAR imagery
Proceedings of SPIE (June 09 1996)

Back to Top