September 5, 2025Open Access

A Multi-Scale Feature Fusion Dual-Branch Mamba-CNN Network for Landslide Extraction

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MSCG-Net significantly enhances the extraction of landslides by combining multiple feature scales for better performance.
Comprehensive evaluations indicate an IoU score of 78.04% on the Bijie Landslide Dataset, outperforming current techniques.
Mamba demonstrates strong potential in semantic segmentation, yet challenges in spatial dependencies remain addressed by MSCG-Net.
The study emphasizes the importance of integrating global context with local details to enhance feature clarity and richness.

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This method improves landslide recognition in remote sensing images, suggesting effective feature extraction techniques.

Yang et al. (2025) studied this question.

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