Integrating Remote Sensing and Street View Imagery with Deep Learning for Urban Slum Mapping: A Case Study from Bandung City

Integrating Remote Sensing and Street View Imagery with Deep Learning for Urban Slum Mapping: A Case Study from Bandung City

In pursuit of the Sustainable Development Goals (SDGs)’s objective of eliminating slum cities, the government of Indonesia has initiated a survey-based slum mapping program. Unfortunately, recent observations have highlighted considerable inconsistencies in the mapping process. These inconsistencies...

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Bibliographic Details
Main Authors: Krisna Ramita Sijabat, Muhammad Aufaristama, Mochamad Candra Wirawan Arief, Irwan Ary Dharmawan
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
urban slum mapping
remote sensing
street view imagery
deep learning
data fusion
Online Access:https://www.mdpi.com/2076-3417/15/14/8044
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