Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks
With success of Deep Belief Networks (DBNs) in computer vision, DBN has attracted great attention in hyperspectral classification. Many deep learning based algorithms have been focused on deep feature extraction for classification improvement. Multi-features, such as texture feature, are widely util...
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Published in | Remote sensing (Basel, Switzerland) Vol. 10; no. 3; p. 396 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
MDPI AG
01.03.2018
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Subjects | |
Online Access | Get full text |
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