7 datasets found

The Indian Pines 2010 dataset is a 2m resolution image taken over the Indian Pines test site in May 2010.

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

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.

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

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.

University of Pavia is a popular benchmark dataset for semantic segmentation.

The Salinas dataset was acquired over the Salinas Valley in California and gathered by the AVIRIS sensor.