Survey On a Fast Hyperspectral Image Classification Method Combined with Spatial Information

摘要

A fast classification method of hyperspectral image is presented to resolve these problems caused by large processing data and noise influence. First, space information is used to extract Spatial Region Feature Spectral. Next, the non-linear method of feature extraction is used to extract the feature of SRFS. The simulation results show that the method can significantly improve the classification results of classifiers and reduce computing time.