A Geoscience-Aware Network (GASlumNet) Combining UNet and ConvNeXt for Slum Mapping

A Geoscience-Aware Network (GASlumNet) Combining UNet and ConvNeXt for Slum Mapping

Approximately 1 billion people worldwide currently inhabit slum areas. The UN Sustainable Development Goal (SDG 11.1) underscores the imperative of upgrading all slums by 2030 to ensure adequate housing for everyone. Geo-locations of slums help local governments with upgrading slums and alleviating...

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Bibliographic Details
Main Authors: Wei Lu, Yunfeng Hu, Feifei Peng, Zhiming Feng, Yanzhao Yang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
slum mapping
deep learning
geoscience-aware paradigm
semantic segmentation
remote sensing
Online Access:https://www.mdpi.com/2072-4292/16/2/260

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https://www.mdpi.com/2072-4292/16/2/260

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