Abstract
The basic principle of PHI hyperspectral imaging systems is introduced in this paper, and various methods for reflectance conversion are discussed and further reduced into three kinds, the methods based upon radioactive transfer theory, the normalization methods and empirical methods. By using the empirical line method, reflectance conversion of shanghais hyperspectral data was made. Experiments of hyperspectral image classification are practiced by using SAM matching model. The result of classification is better than that of traditional classification such as ISODATA. Research indicates that the diversity and complexity can be distinguished by using hyperspectral data.
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