Classification and Analysis of Common Data Sets of Hyperspectral Remote Sensing

Hyperspectral remote sensing has been widely used in various fields. The classification of different feature categories is one of the main research directions. For different application scenarios, considering the interference of different environments, it brings great challenges to the recognition of ground feature classification. In this paper, hyperspectral remote sensing data sets under different scenarios are introduced into the classifier for classification and recognition, The rich spectral information features in hyperspectral data are used for hard classification, and the classification results are used as the discrimination basis for the classification challenges of different data sets, and the recognition results are summarized.