Geospatial Semantic Sensing of Urban Functional Zones from VHR Images and Geographical Entities
Author:
Affiliation:
1. Wuhan University,The State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing,Wuhan,PR China
2. Huazhong Agricultural University,College of Resources and Environment,Wuhan,PR China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640610.pdf?arnumber=10640610
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3. A novel approach for quantifying high-frequency urban land cover changes at the block level with scarce clear-sky Landsat observations
4. Characterizing urban land changes of 30 global megacities using nighttime light time series stacks
5. Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities
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