A Binary Tree Structured Terrain Classifier for Pol-SAR Images

In this letter, a new terrain type classifier is proposed for polarimetric Synthetic Aperture Radar (Pol-SAR) images. This classifier uses the binary tree structure. The homogenous and inhomogeneous areas are first classified by the support vector machine (SVM) classifier based on the texture featur...

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Veröffentlicht in:	IEICE Transactions on Communications 2011/05/01, Vol.E94.B(5), pp.1515-1518
Hauptverfasser:	ZHOU, Guangyi, CUI, Yi, LIU, Yumeng, YANG, Jian
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences binary tree classification Classifiers Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory NASA polarimetry Radiolocalization and radionavigation Signal and communications theory Signal representation. Spectral analysis Signal, noise Support Vector Machine (SVM) Support vector machines Surface layer Synthetic Aperture Radar (SAR) Telecommunications Telecommunications and information theory Terrain Texture Trees
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