Dynamic atrous attention and dual branch context fusion for cross scale Building segmentation in high resolution remote sensing imagery

Dynamic atrous attention and dual branch context fusion for cross scale Building segmentation in high resolution remote sensing imagery

Abstract Building segmentation of high-resolution remote sensing images using deep learning effectively reduces labor costs, but still faces the key challenges of effectively modeling cross-scale contextual relationships and preserving fine spatial details. Current Transformer-based approaches demon...

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Bibliographic Details
Main Authors: Yaohui Liu, Shuzhe Zhang, Xinkai Wang, Rui Zhai, Hu Jiang, Lingjia Kong
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Remote sensing
Building segmentation
Transformer
Attention mechanism
Dynamic atrous attention
Online Access:https://doi.org/10.1038/s41598-025-14751-0
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https://doi.org/10.1038/s41598-025-14751-0

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