Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities

Title
Open-source data-driven urban land-use mapping integrating point-line-polygon semantic objects: A case study of Chinese cities
Authors
Keywords
Urban land-use mapping, Semantic objects, Scene classification, Rule-based category mapping, Enhanced deep adaptation network, Very high resolution remote sensing imagery, Multi-source geospatial data
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 247, Issue -, Pages 111838
Publisher
Elsevier BV
Online
2020-05-29
DOI
10.1016/j.rse.2020.111838

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