Object-based random forest classification for informal settlements identification in the Middle East: Jeddah a case study
Author:
Affiliation:
1. Department of Geomatics, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, Saudi Arabia
2. School of Science, RMIT University, Melbourne, Australia
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1718237
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1. OPTIMIZING OBJECT-BASED CLASSIFICATION IN URBAN ENVIRONMENTS USING VERY HIGH RESOLUTION GEOEYE-1 IMAGERY
2. Spatial–temporal analysis of urban growth and transportation in Jeddah City, Saudi Arabia
3. Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
4. Building change detection through multi-scale GEOBIA approach by integrating deep belief networks with fuzzy ontologies
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