Polarimetric Scattering and SAR Information Retrieval / Wiley - IEEE (PDF)

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

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.

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.

* Features theoretical scattering models and SAR data analysis
techniques

* Explains the simulation of SAR images for mono- and bi-static
radars, covering both qualitative and quantitative information
retrieval

* Chapter topics include: theoretical scattering models; SAR data
analysis and processing techniques; and theoretical quantitative
simulation reconstruction and inversion techniques

* Structured to enable both academic learning and independent
study, laying down the foundations first of all before advancing to
more complex topics

* Experienced author team presents mathematical derivations and
figures so that they are easy for readers to understand

* Pitched at graduate-level students in electrical engineering,
physics, earth and space sciences, as well as researchers

* MATLAB code available for readers to run their own
routines

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.