Hyperspectral Image Classification Dataset

The detailed information of each dataset is as follows:1) PaviaU University: Collected by ROSIS sensors in Pavia, Italy, with 9 categories, image size of 610 × 340 pixels, spatial resolution of 1.3m, and a total of 103 spectral bands covering the visible to near-infrared range.

This dataset represents typical urban scenes, with clear land cover categories but local fragmentation.2) Hanchuan: The Headwall Nano Hypersec sensor was used in Hanchuan City, Hubei Province to collect 16 categories of images with a size of 1217 × 303 pixels and a spatial resolution of 0.109m, including 274 bands from 400 to 1000nm. The dataset is mainly composed of complex agricultural areas, with dense distribution of land features and subtle differences in categories, similar spectral characteristics, and high requirements for fine-grained classification ability.3) HongHu: 22 categories were collected using the Headwall Nano Hypersec sensor in Hubei Province, with an image size of 940 × 475 pixels and a spatial resolution of 0.043m, including 270 bands from 400 to 1000nm.