YichuXu/MambaMoE
[Information Fusion 2025] MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification
This project helps classify different land covers or objects in satellite or aerial hyperspectral images. You provide raw hyperspectral image data (like '.mat' files) and it outputs a classification of what's in the image, such as different types of crops, urban areas, or water bodies. It's designed for remote sensing scientists, environmental analysts, or geographers who work with detailed spectral imagery.
Use this if you need to accurately identify and map land cover or specific materials from high-resolution hyperspectral satellite or airborne imagery.
Not ideal if you are working with standard RGB images or require general object detection rather than detailed spectral classification.
Stars
33
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Language
Python
License
MIT
Category
Last pushed
Jan 18, 2026
Commits (30d)
0
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