Urban Sprawl Monitoring by VHR Images Using Active Contour Loss and Improved U-Net with Mix Transformer Encoders

Urban Sprawl Monitoring by VHR Images Using Active Contour Loss and Improved U-Net with Mix Transformer Encoders

Monitoring the variation of urban expansion is crucial for sustainable urban planning and cultural heritage management. This paper proposes an approach for the semantic segmentation of very-high-resolution (VHR) satellite imagery to detect the changes in urban sprawl in the surroundings of Chan Chan...

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Bibliographic Details
Main Authors: Miguel Chicchon, Francesca Colosi, Eva Savina Malinverni, Francisco James León Trujillo
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
building footprints
neural network
semantic segmentation
OpenEarthMap dataset
transformers
Chan Chan
Online Access:https://www.mdpi.com/2072-4292/17/9/1593
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