Dual Hybrid Attention Mechanism-Based U-Net for Building Segmentation in Remote Sensing Images

Dual Hybrid Attention Mechanism-Based U-Net for Building Segmentation in Remote Sensing Images

High-resolution remote sensing images (HRRSI) have important theoretical and practical value in urban planning. However, current segmentation methods often struggle with issues like blurred edges and loss of detailed information due to the intricate backgrounds and rich semantics in high-resolution...

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Bibliographic Details
Main Authors: Jingxiong Lei, Xuzhi Liu, Haolang Yang, Zeyu Zeng, Jun Feng
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
deep learning
remote sensing image
attention mechanism
U-net
semantic segmentation
Online Access:https://www.mdpi.com/2076-3417/14/3/1293

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https://www.mdpi.com/2076-3417/14/3/1293

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