CLM-UNet: A Remote Sensing Image Semantic Segmentation Method Incorporating Attention Mechanism

CLM-UNet: A Remote Sensing Image Semantic Segmentation Method Incorporating Attention Mechanism

This study proposes an enhanced U-Net model incorporating a CLM attention module, designed to improve semantic segmentation performance in remote sensing images of the Circum-Tarim region. Traditional U-Net structures face challenges in balancing the extraction of global and local features, especial...

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Bibliographic Details
Main Authors: Panpan Zhang, Xin Teng, Yong Qin, Qiwei Zhao, Yu Gao, Wanchao Kang, Junfu Fan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Desert area
attention mechanism
deep learning
ground object classification
Online Access:https://ieeexplore.ieee.org/document/11005532/
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https://ieeexplore.ieee.org/document/11005532/

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