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Proceedings Paper

Multisource classification of SAR images with the use of segmentation, polarimetry, texture, and multitemporal data
Author(s): Franck Sery; Danielle Ducrot-Gambart; Armand Lopes; Roger Fjortoft; Eliane Cubero-Castan; Philippe Marthon
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Paper Abstract

The multilook polarimetric maximum likelihood classifier based on the Wishart distribution supposes no variation of the backscattering of the underlying scene. For clutters verifying the 'product model', we here present the use of a K-distribution and compare this classifier to the one based on the Wishart distribution. A simple way to obtain a full polarimetric filter by filtering a set of adequate powers is also given. We show how filtering and segmentation of the raw data improve the classification results.

Paper Details

Date Published: 17 December 1996
PDF: 12 pages
Proc. SPIE 2955, Image and Signal Processing for Remote Sensing III, (17 December 1996); doi: 10.1117/12.262886
Show Author Affiliations
Franck Sery, CESBIO/CNES (United Kingdom)
Danielle Ducrot-Gambart, CESBIO/CNES (France)
Armand Lopes, CESBIO/CNES (France)
Roger Fjortoft, CESBIO/CNES (France)
ENSEEIHT (France)
Eliane Cubero-Castan, CNES (France)
Philippe Marthon, ENSEEIHT (France)


Published in SPIE Proceedings Vol. 2955:
Image and Signal Processing for Remote Sensing III
Jacky Desachy, Editor(s)

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