Polarimetric Radar Signal Processing

This book attempts to provide an overview of some advanced techniques and technologies developed for polarimetric radars to meet demanding performance requirements, trying to cover some of the most challenging application fields, including: target detection for either active and passive surveillance systems, mainlobe interference suppression, detection of temporal changes in a given scene, environment classification,
automatic target recognition, non-cooperative target imaging, polarimetric coding in radar and SAR systems, pol-SAR ambiguities suppression, space-debris detection, tracking, and classification, estimation of biological and behavioral parameters of insects, precipitations localization as well as type and motion parameters
estimation. Specifically, innovative and sophisticated instruments from statistical signal processing theory such as adaptive detection techniques, covariance matrix estimation, adaptive filtering, invariance theory, independent component analysis, machine learning tools, inverse problem theory, optimization techniques, are framed rigorously and systematically in the context of polarimetric radar signal processing.