EGCM-UNet: Edge Guided Hybrid CNN-Mamba UNet for farmland remote sensing image semantic segmentation

EGCM-UNet: Edge Guided Hybrid CNN-Mamba UNet for farmland remote sensing image semantic segmentation

Segmenting farmland images is challenging due to their high color similarity to the background and irregular shapes, resulting in over/undersegmentation. To tackle these challenges, we propose the Edge Guided Hybrid CNN-Mamba UNet (EGCM-UNet) and design the oriented residual convolutional edge branc...

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Bibliographic Details
Main Authors: Jianhua Zheng, Yusha Fu, Xiaohan Chen, Ruolin Zhao, Junde Lu, Huanghui Zhao, Qian Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geocarto International
Subjects:
Remote sensing images of farmland
semantic segmentation
feature fusion
Mamba
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2024.2440407
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https://www.tandfonline.com/doi/10.1080/10106049.2024.2440407

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