Classification of Polarimetric SAR Image Based on Support Vector Machine Using Multiple-Component Scattering Model and Texture Features

The classification of polarimetric SAR image based on Multiple-Component Scattering Model (MCSM) and Support Vector Machine (SVM) is presented in this paper. MCSM is a potential decomposition method for a general condition. SVM is a popular tool for machine learning tasks involving classification, r...

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Bibliografiske detaljer
Main Authors: Lamei Zhang, Bin Zou, Junping Zhang, Ye Zhang
Format: Article
Sprog:English
Udgivet: SpringerOpen 2010-01-01
Serier:EURASIP Journal on Advances in Signal Processing
Online adgang:http://dx.doi.org/10.1155/2010/960831