DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images
In recent years, deep convolutional neural networks (DCNNs) have made significant progress in cloud detection tasks, and the detection accuracy has been greatly improved. However, most existing CNN-based models have high computational complexity, which limits their practical application, especially...
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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-16 |
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