PolSAR image classification based on multi-scale stacked sparse autoencoder

Recently, many deep learning methods are applied with the spatial information to learn features for polarimetric synthetic aperture radar (PolSAR) image classification. However, without considering the multi-scale information, the classification performance of these methods are limited. Hence, this...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 351; pp. 167 - 179
Main Authors:	Zhang, Lu, Jiao, Licheng, Ma, Wenping, Duan, Yiping, Zhang, Dan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 25.07.2019
Subjects:	Deep learning Feature learning Multi-scale Polsar classification Stacked sparse autoencoder Deep learning Feature learning Multi-scale Polsar classification Stacked sparse autoencoder
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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