Deep Learning Scene Classification Experiments in Automatic Detection of Slums on Planetscope Imagery
Author:
Affiliation:
1. Oak Ridge National Laboratory,Geospatial Science and Human Security Division,USA
Funder
UT-Battelle
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642607.pdf?arnumber=10642607
Reference11 articles.
1. Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs)
2. “Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review
3. The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countries
4. Slums from Space—15 Years of Slum Mapping Using Remote Sensing
5. Google Earth Engine for Informal Settlement Mapping: A Random Forest Classification Using Spectral and Textural Information
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