SSDMamba: A spectral–spatial dual-branch mamba for hyperspectral image classification

Key Points

• Classification accuracy improved by utilizing a spectral-spatial dual-branch network model.
• The SSDMamba approach achieved a notable enhancement in overall accuracy by 15% over traditional methods.
• Implementation involves advanced spectral analysis and spatial feature extraction techniques.
• This new model may enable more effective use of hyperspectral imaging in various applications.