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Spectrum reconstruct and spectrum matching of PHI hyperspectral image in city area

机译:城市PHI高光谱图像的光谱重构与光谱匹配。

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摘要

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.
机译:介绍了PHI高光谱成像系统的基本原理,讨论了各种反射率转换方法,并将其进一步简化为三种,即基于放射性转移理论的方法,归一化方法和经验方法。利用经验线法,对上海高光谱数据进行了反射率转换。利用SAM匹配模型进行了高光谱图像分类实验。分类的结果要好于传统分类(如ISODATA)。研究表明,可以通过使用高光谱数据来区分多样性和复杂性。

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