A Self-Training Approach Using Benchmark Dataset and Stereo-DSM for Building Extraction
Deep learning has been the state-of-the-art solution to numerous remote sensing tasks, especially for building extraction. However, the performance of learning-based building extraction approaches depend to a large extent on the similarity of the source and target domain data. To alleviate the depen...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2024-01-01
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| Edice: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/10557502/ |
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