Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia
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Title
Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia
Authors
Keywords
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Journal
Remote Sensing
Volume 10, Issue 10, Pages 1522
Publisher
MDPI AG
Online
2018-09-24
DOI
10.3390/rs10101522
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- A Robust Built-Up Area Presence Index by Anisotropic Rotation-Invariant Textural Measure
- (2008) Martino Pesaresi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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