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...
Main Authors: | , , , |
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Format: | Article |
Sprog: | English |
Udgivet: |
SpringerOpen
2010-01-01
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Serier: | EURASIP Journal on Advances in Signal Processing |
Online adgang: | http://dx.doi.org/10.1155/2010/960831 |