Deep active learning in remote sensing for data efficient change detection
We investigate active learning in the context of deep neural network models for change detection and map updating. Active learning is a natural choice for a number of remote sensing tasks, including the detection of local surface changes: changes are on the one hand rare and on the other hand their...
| Главные авторы: | , , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
CEUR Workshop Proceedings
2020
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