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Proceedings Paper

Spectra description and clustering based on morphological pattern spectum
Author(s): Hui Li; Qizhong Lin; Qingjie Liu; Qinjun Wang; Lu Wang
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Paper Abstract

Morphological pattern spectrum was used to shape features description and analysis of visible/near infrared spectra. Based on the firstly constructed multi-scale Gaussian structure elements, which have similar shape to local feature of spectra, we calculated pattern spectrums of 10 mineral spectra from USGS mineral spectral library, and then we compared both the similarity and k-means clustering results of the original spectrum with that of the corresponding pattern spectrum. The results show that pattern spectrum increases differences between different categories, but retains similarity within a category, and pattern spectrum is more separable than the original spectra. Mineral spectra classification has higher accuracy based on pattern spectrum rather than the original spectra.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749802 (30 October 2009); doi: 10.1117/12.832488
Show Author Affiliations
Hui Li, Ctr. for Earth Observation and Digital Earth (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Qizhong Lin, Ctr. for Earth Observation and Digital Earth (China)
Qingjie Liu, Institute of Remote Sensing Applications (China)
Qinjun Wang, Ctr. for Earth Observation and Digital Earth (China)
Lu Wang, East China Normal Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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