Spectral characteristics and feature selection of hyperspectral remote sensing data |
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Authors: | Xiaoguang Jiang Corresponding author Lingli Tang Changyao Wang Cheng Wang |
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Affiliation: | 1. China Remote Sensing Satellite Ground Station , Chinese Academy of Sciences , Beijing, 100086, People's Republic of China xgjiang@ne.rsgs.ac.cn;3. China Remote Sensing Satellite Ground Station , Chinese Academy of Sciences , Beijing, 100086, People's Republic of China;4. LARSIS, Institute of Remote Sensing Applications , Chinese Academy of Sciences , Beijing, 100101, People's Republic of China;5. Institute of Geography Science , Nanjing Normal University , Nanjing, 210097, People's Republic of China |
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Abstract: | Hyperspectral remote sensing data with bandwidth of nanometre (nm) level have tens or even several hundreds of channels and contain abundant spectral information. Different channels have their own properties and show the spectral characteristics of various objects in image. Rational feature selection from the varieties of channels is very important for effective analysis and information extraction of hyperspectral data. This paper, taking Shunyi region of Beijing as a study area, comprehensively analysed the spectral characteristics of hyperspectral data. On the basis of analysing the information quantity of bands, correlation between different bands, spectral absorption characteristics of objects and object separability in bands, a fundamental method of optimum band selection and feature extraction from hyperspectral remote sensing data was proposed. |
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