Orthogonal polynomial function fitting for hyperspectral data representation and discrimination
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- 作者：Liwei Lia ; Bing Zhanga ; zb@radi.ac.cn" class="auth_mail" title="E-mail the corresponding author ; Wei Lib ; Lianru Gaoa
- 关键词：Orthogonal polynomial function ; Fitting ; Representation ; Discrimination ; Hyperspectral
- 刊名：Pattern Recognition Letters
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：83
- 期：part_P2
- 页码：160-168
- 全文大小：3198 K
文摘
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OPFs efficiently mine the geometric structure of spectral signatures.
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Essential OPF fitting coefficients sparsely represent complex spectral signatures.
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Selected OPF fitting coefficients well distinguish various spectral signatures.