CRA-MHIF:Consensus Reasoning Attention Network for Multispectral and Hyperspectral Image Fusion
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Experimental Data for CRA-MHIF: Consensus Reasoning Attention Network for Multispectral and Hyperspectral Image FusionThis package includes all supporting data for the paper:Consensus Reasoning Attention Network for Multispectral and Hyperspectral Image Fusion1. Datasets UsedAll datasets are publicly available and used as described in the paper.CAVE Dataset:Source: https://cave.cs.columbia.edu/repository/MultispectralDescription: 32 indoor multispectral scenes with 31 spectral bands (400–700 nm, 10 nm step), spatial resolution 512×512.Pavia University Dataset (PaviaU):Source: https://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes#Pavia_Centre_and_UniversityDescription: Hyperspectral image acquired by ROSIS-03 sensor over Pavia, Italy. Contains 103 valid spectral bands (0.43–0.86 μm), spatial resolution 1.3 m.Washington DC Mall Dataset (WDCM):Source: https://engineering.purdue.edu/~biehl/MultiSpec/hyperspectral.htmlDescription: Hyperspectral image captured by HYDICE airborne sensor. Contains 191 valid spectral bands after removing water vapor absorption bands, spatial resolution 2.5 m.Yellow River Estuary Dataset (YRE):Source:YRE-Dataset/Description: Real-world remote sensing dataset composed of Gaofen-5 AHSI hyperspectral images and Sentinel-2A MSI multispectral images. Hyperspectral: 1400×1400 pixels, 280 bands (400–2500 nm), 30 m resolution. Multispectral: 4200×4200 pixels, 4 bands, 10 m resolution.2. File StructureExperiment-Data/:Includes per-band PSNR values of CAVE, PaviaU, and WDCM datasets, used to plot the spectral performance curves in the paper.Experiment-Imgs/:Includes all experimental visualization results:Fusion result comparison images (4 figures)Per-band PSNR curve figures (3 figures)YRE-Dataset/:Real-world Yellow River Estuary dataset used in real-scene experiments.3. UsageThese data are used to reproduce all quantitative results, tables, and figures in the paper.All data are released underCreative Commons Attribution 4.0 International license.



