Polarimetric Contextual Classification of PolSAR Images Using Sparse Representation and Superpixels

In recent years, sparse representation-based techniques have shown great potential for pattern recognition problems. In this paper, the problem of polarimetric synthetic aperture radar (PolSAR) image classification is investigated using sparse representation-based classifiers (SRCs). We propose to t...

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Bibliografische Detailangaben

Hauptverfasser:	Jilan Feng, Zongjie Cao, Yiming Pi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2014-07-01
Schriftenreihe:	Remote Sensing
Schlagworte:	polarimetric synthetic aperture radar (PolSAR) image classification sparse representation-based classifier superpixel spatial regularization joint sparse representation
Online-Zugang:	http://www.mdpi.com/2072-4292/6/8/7158
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