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Proceedings Paper

A knowledge-based classification method for polarimetric SAR data
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Paper Abstract

Full polarimetric data can define the scattering behavior of land use/cover through several approaches. Several classification methods have been proposed based on analysis methods. These classification methods are based on the backscattering mechanisms which are extracted using a single decomposition method. The objectives of this work are a) the investigation of the different polarimetric analysis methods; b) the interpretation of the images resulting from polarimetric analysis; c) the development of an object-oriented classification method based on polarimetric analysis imagery and the comparison of this method with the H/a and the H/a Wishart classification methods respectively.

Paper Details

Date Published: 12 October 2005
PDF: 13 pages
Proc. SPIE 5980, SAR Image Analysis, Modeling, and Techniques VII, 59800C (12 October 2005); doi: 10.1117/12.627070
Show Author Affiliations
M. Dabboor, National Technical Univ. of Athens (Greece)
V. Karathanassi, National Technical Univ. of Athens (Greece)


Published in SPIE Proceedings Vol. 5980:
SAR Image Analysis, Modeling, and Techniques VII
Francesco Posa, Editor(s)

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