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LAND USE CLASSIFICATION BASED ON MULTI-STRUCTURE CONVOLUTION NEURAL NETWORK FEATURES CASCADING
Learning efficient image representations is at the core of the classification task of remote sensing imagery. The existing methods for solving image classification task, based on either feature coding approaches extracted from convolution neural networks(CNNs) or training new CNNs, can only generate...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Copernicus Publications
2019-09-01
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| Seri Bilgileri: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Erişim: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/163/2019/isprs-archives-XLII-2-W16-163-2019.pdf |
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