DGCC-EB: Deep Global Context Construction With an Enabled Boundary for Land Use Mapping of CSMA
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DOI: 10.1109/tgrs.2022.3224733
Abstract: Land use mapping (LUM) of a coal mining subsidence area (CMSA) is a significant task. The application of convolutional neural networks (CNNs) has become prevalent in LUM, which can achieve promising performances. However, CNNs cannot… read more here.
Keywords: global context; context construction; use mapping; land use ... See more keywords