Authors:
- 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)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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, Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland
Armando Marino
About the author
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.
Bibliographic Information
Book Title: A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR)
Authors: Armando Marino
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-642-27163-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-27162-5Published: 27 January 2012
Softcover ISBN: 978-3-642-43156-2Published: 22 February 2014
eBook ISBN: 978-3-642-27163-2Published: 26 January 2012
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXII, 242
Topics: Remote Sensing/Photogrammetry, Mathematical Applications in the Physical Sciences, Microwaves, RF and Optical Engineering, Algorithms