Semisupervised hyperspectral image classification based on generative adversarial networks and spectral angle distance

The proposed method (SADGAN) was tested and compared with four hyperspectral datasets: the University of Pavia dataset, the Indian Pines dataset, the Salinas dataset related to agriculture, and the Tianshan dataset related to geological bodies.

The first hyperspectral dataset is Indian Pines, which was acquired by the airborne visible/infrared imaging spectrometer (AVIRIS) sensor over the Indian Pines region in northwestern Indiana in 1992. The image has a size of \(145 \times 145\) pixels with 220 spectral bands covering the range from 400 to 2200 nm with fine spectral resolution. The…