Progress In Electromagnetics Research
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Compression of Polarimetric Synthetic Aperture Radar Data

By S. El Assad, X. Morin, D. Barba, and V. Slavova

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The paper deals with proposition and evaluation of new and specific methods to represent vector radar data acquired by means a side-looking measurement in order to use compression process of Lind, Buzo, Gray (LBG), and Kohonen's self organizing feature maps of topology. The aim is to enable after coding, transmission, and decoding a high-resolution reconstruction image using the Synthetic Aperture Radar (SAR) methods. The approach proposed for compression uses the statistical properties of the signals to be compressed in order to perform the vector quantification in an optimal way.

S. El Assad, X. Morin, D. Barba, and V. Slavova, "Compression of Polarimetric Synthetic Aperture Radar Data," Progress In Electromagnetics Research, Vol. 39, 125-145, 2003.

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