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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Detalhes bibliográficos

Principais autores:	Jilan Feng, Zongjie Cao, Yiming Pi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2014-07-01
Colecção:	Remote Sensing
Assuntos:	polarimetric synthetic aperture radar (PolSAR) image classification sparse representation-based classifier superpixel spatial regularization joint sparse representation
Acesso em linha:	http://www.mdpi.com/2072-4292/6/8/7158
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