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New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR)
Armando Marino
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Description for New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR)
Paperback. This publication details a groundbreaking radar methodology called perturbation analysis, which enables detection of targets smaller than the resolution cell that are highly embedded in clutter. It pushes forward the performance limits of current algorithms. Series: Springer Theses. Num Pages: 264 pages, biography. BIC Classification: PBKS; PBWH; RGW; TJFN. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 409.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
264
Condition
New
Series
Springer Theses
Number of Pages
242
Place of Publication
Berlin, Germany
ISBN
9783642431562
SKU
V9783642431562
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Armando Marino
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: ... Read more
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