IMPROVING SEMANTIC SEGMENTATION OF HIGH-RESOLUTION REMOTE SENSING IMAGES USING WASSERSTEIN GENERATIVE ADVERSARIAL NETWORK
Semantic segmentation of remote sensing images with high spatial resolution has many applications in a wide range of problems in this field. In recent years, the use of advanced techniques based on fully convolutional neural networks have achieved high and impressive accuracies. However, the labels...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-01-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W2-2022/45/2023/isprs-archives-XLVIII-4-W2-2022-45-2023.pdf |