September 10, 2025Remote SensingOpen Access

A Multilevel Multimodal Hybrid Mamba-Large Strip Convolution Network for Remote Sensing Semantic Segmentation

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The Mamba-Large Strip Convolution network improves segmentation accuracy for remote sensing images.
Experimental results indicate superior performance over state-of-the-art models in challenging datasets.
This approach employs a novel multimodal fusion strategy that captures cross-modal contextual information effectively.
The introduction of the Large Strip Spatial Detail extraction module enhances boundary feature learning.

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Proposed Mamba-Large Strip network enhances feature representation in remote sensing images, suggesting improved segmentation accuracy.

Yan et al. (2025) studied this question.

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