A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR)

  • Armando┬áMarino
Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Armando Marino
    Pages 1-7
  3. Armando Marino
    Pages 9-27
  4. Armando Marino
    Pages 29-61
  5. Armando Marino
    Pages 63-92
  6. Armando Marino
    Pages 93-131
  7. Armando Marino
    Pages 133-160
  8. Armando Marino
    Pages 161-191
  9. Armando Marino
    Pages 193-215
  10. Armando Marino
    Pages 217-221
  11. Back Matter
    Pages 223-240

About this book

Introduction

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.

Keywords

ALOS-PALSAR E-SAR RADARSAT-2 Radar Polimetry Synthetic Aperture Radar Target Detection TerraSAR-X airborne system microwave remote sensing satellite system

Authors and affiliations

  • Armando┬áMarino
    • 1
  1. 1., Institute of Environmental EngineeringETH ZurichZurichSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-27163-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-642-27162-5
  • Online ISBN 978-3-642-27163-2