T-UNet: triplet UNet for change detection in high-resolution remote sensing images

T-UNet: triplet UNet for change detection in high-resolution remote sensing images

ABSTRACTRemote sensing image change detection aims to identify differences between images acquired at different times in the same area, crucial for land management, environmental monitoring, and disaster assessment. Current change detection methods mainly use Siamese or early fusion structures. Siam...

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Bibliographic Details
Main Authors: Huan Zhong, Chen Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-04-01
Series:Geo-spatial Information Science
Subjects:
Change detection
remote sensing
deep learning
triplet encoder
attention mechanism
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2338224

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2024.2338224

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