Research on oil pollution image classification of airborne hyperspectral data based on spectral angle analysis method

This paper first analyzed the characteristics of relevant image classification methods based on the high spectral characteristics of the acquired airborne high spectral data, and then obtained the better airborne oil pollution classification image results of hyperspectral data through the research and using of spectral angle analysis method of image classification, which verified the feasibility of oil pollution discovery and monitoring using airborne hyperspectral data.