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

  • Book
  • © 2012

Overview

Authors:
  1. Armando Marino

    1. , Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland

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  • 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

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Introduction

    • Armando Marino
    Pages 1-7

  3. Synthetic Aperture Radar

    • Armando Marino
    Pages 9-27

  4. Radar Polarimetry

    • Armando Marino
    Pages 29-61

  5. Polarimetric Detector

    • Armando Marino
    Pages 63-92

  6. Polarimetric Detector Statistics

    • Armando Marino
    Pages 93-131

  7. Validation with Airborne Data

    • Armando Marino
    Pages 133-160

  8. Validation with Satellite Data

    • Armando Marino
    Pages 161-191

  9. Recent Applications of Perturbation Filters

    • Armando Marino
    Pages 193-215

  10. Conclusions

    • Armando Marino
    Pages 217-221

  11. Back Matter

    Pages 223-240
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Keywords

About this book

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.

Authors and Affiliations

  • , Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland

    Armando Marino

About the author

Best PhD theses 2011: RSPSoc (Remote Sensing and Photogrammetry Society)

Best poster: ASM'08 RSPsoc, 10-11 March 2008, Lyndhurst, New Forest, UK

Best paper: Electro Magnetic Remote Sensing Defence Technology Centre, EMRS-DTC’09,
24th-25th June 2009, Edinburgh, UK.

Best student paper (category Methods), Dragon-2 Symposium, 17th-21st May 2010, Guilin,
China

Best paper: Electro Magnetic Remote Sensing Defence Technology Centre, EMRS-DTC’10,
13th-14th July 2010, Edinburgh, UK.

Finalist for best student paper: IEEE International Geoscience & Remote Sensing Symposium,
IGARSS’10, 25 – 30 July, 2010, Honolulu, Hawaii.

Chair of poster session on Polarimetric Techniques, IEEE International Geoscience & Remote
Sensing Symposium, IGARSS’11, 24-29 July 2011, Vancouver, Canada.

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