Deep 3D convolutional network combined with spatial-spectral features for hyperspectral image classification
A classification method of hyperspectral images based on deep 3D convolution networks is proposed in order to deal with the high dimensional and small samples of hyperspectral image classification. The method first uses hyperspectral data cube as input, and uses 3D convolution operation to extract 3...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Surveying and Mapping Press
2018-01-01
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| Series: | Acta Geodaetica et Cartographica Sinica |
| Subjects: | |
| Online Access: | http://html.rhhz.net/CHXB/html/2019-1-53.htm |