9 datasets found

Hyperspectral remote sensing images have high dimensionality and a large number of channels with substantial redundancy between channels. The training data for classifying HSRS...

A dataset of 4 scenes of 433 images each, all exhibiting intricate plant geometry.

A dataset of 4 scenes of 48 images each, with 2 of the scenes exhibiting intricate plant geometry and the other two exhibiting several objects with wavelength-dependent...

A dataset of nearly 2000 hyperspectral images across 8 scenes and 2 cameras was collected to evaluate the proposed hyperspectral 3D reconstruction approach.

The dataset used in this paper is a hyperspectral image dataset, which is a type of multi-dimensional data. The dataset is used for tensor completion, a problem in scientific...

WV-2 dataset is a real hyperspectral imaging dataset

This dataset contains 50 HS images of spatial dimensions 1040 × 1392 and spectral dimension 31.

Hyperspectral recordings approximate the spectrum for each pixel of the image. Therefore, the number of channels is increased (to around 200), and the range of recorded...

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.