Polarimetric Scattering and SAR Information Retrieval

<p><b><i>Taking an innovative look at Synthetic Aperture Radar (SAR), this practical reference fully covers new developments in SAR and its various methodologies and enables readers to interpret SAR imagery</i></b></p> <p>An essential reference on polarimetric Synthetic Aperture Radar (SAR), this book uses scattering theory and radiative transfer theory as a basis for its treatment of topics. It is organized to include theoretical scattering models and SAR data analysis techniques, and presents cutting-edge research on theoretical modelling of terrain surface. The book includes quantitative approaches for remote sensing, such as the analysis of the Mueller matrix solution of random media, mono-static and bistatic SAR image simulation. It also covers new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, reconstruction of building objects from multi-aspect SAR images, and polarimetric pulse echoes from multi-layering scatter media.</p> <p>Structured to encourage methodical learning, earlier chapters cover core material, whilst later sections involve more advanced new topics which are important for researchers. The final chapter completes the book as a reference by covering SAR interferometry, a core topic in the remote sensing community.</p> <ul> <li>Features theoretical scattering models and SAR data analysis techniques</li> <li>Explains the simulation of SAR images for mono- and bi-static radars, covering both qualitative and quantitative information retrieval</li> <li>Chapter topics include: theoretical scattering models; SAR data analysis and processing techniques; and theoretical quantitative simulation reconstruction and inversion techniques</li> <li>Structured to enable both academic learning and independent study, laying down the foundations first of all before advancing to more complex topics</li> <li>Experienced author team presents mathematical derivations and figures so that they are easy for readers to understand </li> <li>Pitched at graduate-level students in electrical engineering, physics, earth and space sciences, as well as researchers</li> <li>MATLAB code available for readers to run their own routines</li> </ul> <p>An invaluable reference for research scientists, engineers and scientists working on polarimetric SAR hardware and software, Application developers of SAR and polarimetric SAR, remote sensing specialists working with SAR data – using ESA.</p>