COMPRESSION OF POLARIMETRIC SYNTHETIC APERTURE RADAR DATA

Abstract—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 pro-cess 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 a