Building Change Detection in Aerial Imagery Using End-to-End Deep Learning Semantic Segmentation Techniques

Building Change Detection in Aerial Imagery Using End-to-End Deep Learning Semantic Segmentation Techniques

Automatic building change detection is essential for updating geospatial data, urban planning, and land use management. The objective of this study is to propose a transformer-based UNet-like framework for end-to-end building change detection, integrating multi-temporal and multi-source data to impr...

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Bibliographic Details
Main Authors: Tee-Ann Teo, Pei-Cheng Chen
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Buildings
Subjects:
buildings
change detection
deep learning
map updating
Online Access:https://www.mdpi.com/2075-5309/15/5/695
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