DSpace - Tor Vergata: Item 2108/1076

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Title:	PolSOM and TexSOM in polarimetric SAR classification
Authors:	Solimini, Domenico Putignano, Cosimo
Keywords:	self organizing map polarimetry SAR classification objet-oriented
Issue Date:	1-Sep-2009
Abstract:	The polarimetric observables in a SAR image possess an intrinsic physical information, what makes polarimetric data fit to unsupervised classification, without need of a-priori information on the scene. Indeed, in natural targets, like vegetation, surface, volume and sometimes double-bounce scattering mechanisms are mixed, while backscattering from man-made targets can be usually attributed to dihedrons, trihedrons and bare surfaces. In many cases a radar resolution cell hosts more than one mechanism, although an average or dominant scattering mechanism can be identified for the purposes of classification. Following Chandrasekhar's pioneering target decomposition and the generalized and systematic theory by Huynen, a number of approaches to the interpretation of the scattering processes and to the identification of scatterers have appeared in the open literature. Target decomposition theory laid down the basis for the classification of radar images. In particular, the formalism worked ...
URI:	http://hdl.handle.net/2108/1076
Appears in Collections:	Tesi di dottorato in ingegneria

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