Automatic generation of land use maps using aerial orthoimages and building floor data with a Conv-Depth Block (CDB) ResU-Net architecture
Unlike land classification maps, it is difficult to automate the generation of land use (LU) maps. The deep learning approach is a state-of-the-art methodology that can expedite the creation of LU maps. However, as the deep learning output depends on the training input, it is critical to decide upon...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-03-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243422000046 |