A DeepLabV3+ and HED based segmentation network with an attention loss labels temporary railway construction works and residential areas in satellite images, reaching about 80 percent overall accuracy.
Random forest classifier for remote sensing classification
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DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images
A DeepLabV3+ and HED based segmentation network with an attention loss labels temporary railway construction works and residential areas in satellite images, reaching about 80 percent overall accuracy.