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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Vydané v:	Neurocomputing (Amsterdam) Ročník 351; s. 167 - 179
Hlavní autori:	Zhang, Lu, Jiao, Licheng, Ma, Wenping, Duan, Yiping, Zhang, Dan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 25.07.2019
Predmet:	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
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