Sample Denoising Results of GLMT on the ICVL and Urban Hyperspectral Datasets

This dataset contains selected hyperspectral image denoising results generated by the Global-Local Mamba-Transformer network (GLMT), which was developed for complex noise removal and quality enhancement of hyperspectral images. The repository includes representative GLMT outputs for selected images from the ICVL hyperspectral dataset under simulated noise conditions, together with denoising results for the Urban airborne hyperspectral dataset affected by real mixed noise. The files are provided to support the qualitative evaluation and visual comparisons presented in the associated research article. Associated article:He, Y., Ming, D., Lan, Q., Zhang, Y., Xu, L., and Lu, T. “Quality Enhancement of Real Satellite Hyperspectral Images via Complex Noise Removal Using a Global-Local Mamba-Transformer Network.”