This data set contains 950 publicly images and 50 “test” images which have only been released as RGB or Multi-Spectral-Filter-Array “RAW” files. Publicly available images have been published as: 31 channel hyperspectral images in the 400-700nm range; 16 channel multi-spectral images in the 400-1000nm range; Sample images form the ARAD ...

Hyperspectral images (HSIs) are widely used to identify and characterize objects in scenes of interest, but they are associated with high acquisition costs and low spatial resolutions.

As of its publication in June 2022, the ARAD 1K natural spectral image data set is the largest collection of natural hyperspectral images published to date. This repository will serve to provide access to the data set, facilitate evaluation of follow up …

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ARAD-1K (Ntire 2022 spectral recovery challenge and data set) Introduced by Arad et al. in NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

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