LIU Yongmei*，MA Xiao，MEN Chaoguang
In the field of hyperspectral remote sensing image classification, spatial and spectral feature fusion can improve the effect of classification. A multifeature spectral and spatial classification method for hyperspectral images was proposed. In the postprocessing procedure, the saltandpepper noises were removed by using superpixel information. It was also used in the preprocessing procedure, and the feature vector of pixels was weighted by superpixel information. The experiment results show that the results of proposed method are better than the present methods.
hyperspectral remote sensing image classification,
linear weighted fusion
LIU Yongmei，MA Xiao，MEN Chaoguang. A hyperspectral remote sensing image classification method based on multispatial information[J]. , doi: 10.16708/j.cnki.1000-758X.2019.0013.
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