-
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. -
Satimage dataset
The Satimage dataset is a dataset of 6435 examples with 36 attributes. -
National Land Cover Database (NLCD)
National Land Cover Database (NLCD) for the conterminous United States. -
Land Cover Classification Dataset
The dataset contains twelve land cover types, namely, Fallow land, Built-up-area, Dense Vegetation, Fenugreek, Fodder, Gram, Mustard, Oat, Pea, Sparse Vegetation, Spinach and... -
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. -
OpenEarthMap Xia et al.
Land cover classification is a key application for remote sensing and Earth observation (EO) data, as it provides essential information for various domains, such as urban... -
Canadian Cropland Dataset
The Canadian Cropland Dataset is a multitemporal patch-based dataset of Canadian croplands, enriched with labels retrieved from the Canadian Annual Crop Inventory. -
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).