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Kennedy Space Center dataset
Kennedy Space Center dataset has 176 bands and contains 13 classes. -
Houston 2013
The Houston 2013 dataset is an urban area image taken by the CASI sensor in 2013. -
Indian Pines 2010
The Indian Pines 2010 dataset is a 2m resolution image taken over the Indian Pines test site in May 2010. -
Indian Pines 1992
The Indian Pines 1992 dataset is a 20-m resolution image taken over the Indian Pines test site in June 1992. -
Salinas dataset
Hyperspectral remote sensing images have high dimensionality and a large number of channels with substantial redundancy between channels. The training data for classifying HSRS... -
Indian Pines dataset
The Indian Pines dataset contains 16 land cover types, which leaves 200 bands to be used for experiments after removing noise and water absorption bands. -
Indian Pines and Salinas datasets
Hyperspectral images (HSIs) contain spectrum information for each pixel in the image of a scene, where each spatial pixel is a spectral vector composed of hundreds of contiguous... -
AVIRIS Indian Pines, AVIRIS Salinas, AVIRIS University of Pavia
The dataset used for hyperspectral image classification, consisting of three images: Indian Pines, Salinas, and University of Pavia. -
Botswana dataset
Hyperspectral remote sensing images have high dimensionality and a large number of channels with substantial redundancy between channels. The training data for classifying HSRS... -
University of Houston
The University of Houston dataset is a hyperspectral image dataset acquired over the University of Houston campus and the neighboring urban area. -
Kennedy Space Center
A hyperspectral image dataset with 4 classes, captured over the Kennedy Space Center, FL, by the NASA AVIRIS instrument. -
Triplet-Watershed for Hyperspectral Image Classification
Hyperspectral images consist of rich spatial and spectral information, which can be used for several applications. However, noise, band correlations, and high dimensionality... -
Pavia University dataset
The Pavia University dataset was acquired by ROSIS airborne sensor over the University of Pavia, Italy, in 2003. The original HSI comprises 610×340 pixels and 115 spectral bands. -
Toulouse Hyperspectral Data Set
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. -
Houston, MUUFL and Botswana datasets
The Houston, MUUFL and Botswana datasets are used for hyperspectral image classification. The Houston dataset contains 15 classes with 144 spectral bands, the MUUFL dataset... -
University of Pavia
University of Pavia is a popular benchmark dataset for semantic segmentation. -
Salinas Valley
Three famous HSI data sets are used to demonstrate the reliability of the proposed method, which are University of Pavia (PU), Salinas (SA), and Indian Pines (IP). -
Indian Pines and University of Pavia datasets
Hyperspectral images
