ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS
Domain adaptation (DA) can drastically decrease the amount of training data needed to obtain good classification models by leveraging available data from a source domain for the classification of a new (target) domains. In this paper, we address deep DA, i.e. DA with deep convolutional neural networ...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Copernicus Publications
2019-09-01
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| Serier: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online adgang: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W7/197/2019/isprs-annals-IV-2-W7-197-2019.pdf |
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