This thesis presents a groundbraking methodology for the radar international community. The detection approach introduced, namely perturbation analysis, is completey novel showing a remarkable capability of thinking outside the box. Perturbation analysis is able to push forward the performance limits of current algorithms, allowing the detection of targets smaller than the resolution cell and highly embedded in clutter. The methodology itself is extraordinary flexibe and has already been used in two other large projects, funded by the ESA (European Space Agency): M-POL for maritime surveillance, and DRAGON-2 for land classification with particular attention to forests. This book is a perfectly organised piece of work where every detail and perspective is taken into account in order to provide a comprehensive vision of the problems and solutions.
This thesis presents a groundbraking methodology for the radar international community. The detection approach introduced, namely perturbation analysis, is completey novel showing a remarkable capability of thinking outside the box. Perturbation analysis is able to push forward the performance limits of current algorithms, allowing the detection of targets smaller than the resolution cell and highly embedded in clutter. The methodology itself is extraordinary flexibe and has already been used in two other large projects, funded by the ESA (European Space Agency): M-POL for maritime surveillance, and DRAGON-2 for land classification with particular attention to forests. This book is a perfectly organised piece of work where every detail and perspective is taken into account in order to provide a comprehensive vision of the problems and solutions.
Nominated for a Springer Theses Prize by the University of Edinburgh, United Kingdom This thesis presents a groundbraking methodology, namely perturbation analysis, allowing the detection of targets smaller than the resolution cell and highly embedded in clutter With numerous examples and colour images, visualizing target detection based on perturbation analysis The thesis was awarded as 'Best PhD theses 2011' by UK's Remote Sensing and Photogrammetry Society Includes supplementary material: sn.pub/extras
Armando Marino
ALOS-PALSAR E-SAR RADARSAT-2 Radar Polimetry Synthetic Aperture Radar Target Detection TerraSAR-X airborne system microwave remote sensing satellite system remote sensing/photogrammetry