Extraction of Black and Odorous Water Based on Aerial Hyperspectral CASI Image

With the development of economy, the water quality of rivers has been seriously polluted, so water quality monitoring has become the focus of environmental monitoring. Based on Airborne Hyperspectral CASI image data, this paper proposes a model for extracting black and odorous water, which effectively eliminates the effects of shadows and vegetation. By setting the threshold of the results, the black and odorous water can be divided into four categories: heavy pollution, light pollution, muddy and non-pollution.