Quantifying Uncertainty in Slum Detection: Advancing Transfer Learning With Limited Data in Noisy Urban Environments
In the intricate landscape of mapping urban slum dynamics, the significance of robust and efficient techniques is often underestimated and remains absent in many studies. This not only hampers the comprehensiveness of research but also undermines potential solutions that could be pivotal for address...
| Główni autorzy: | , , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
IEEE
2024-01-01
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| Seria: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/10416343/ |