@inproceedings{9d11115c2fc7442090f5a9b91e795a3f,
title = "Spectra description and clustering based on morphological pattern spectum",
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.",
keywords = "K-means clustering, Morphological patter spectrum, Visible/near infrared spectra, YangHui triangle",
author = "Hui Li and Qizhong Lin and Qingjie Liu and Qinjun Wang and Lu Wang",
year = "2009",
doi = "10.1117/12.832488",
language = "英语",
isbn = "9780819478092",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications",
note = "MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition ; Conference date: 30-10-2009 Through 01-11-2009",
}