Remote Sensing Image Classification Based on Stacked Denoising Autoencoder

Focused on the issue that conventional remote sensing image classification methods have run into the bottlenecks in accuracy, a new remote sensing image classification method inspired by deep learning is proposed, which is based on Stacked Denoising Autoencoder. First, the deep network model is buil...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 10; H. 1; S. 16
Hauptverfasser:	Liang, Peng, Shi, Wenzhong, Zhang, Xiaokang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 01.01.2018
Schlagworte:	Back Propagation neural network deep learning land cover classification stacked denoising autoencoder
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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