5 datasets found

Hyperspectral image super-resolution (HSI SR) task is critical and meaningful to enhance the image quality to better serve the subsequent high-level computer vision tasks.

The dataset contains a HS image of size 349×1905×144.

Airborne hyperspectral images can be used to map the land cover in large urban areas, thanks to their very high spatial and spectral resolutions on a wide spectral domain.

The dataset used in the paper is a hyperspectral image reconstruction dataset, which consists of 10 256 × 256 × 28 hyperspectral images collected from KAIST.

The dataset is a hyperspectral image (Salinas A HSI) with 224 spectral bands across an 83 x 86 image.