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Hyperspectral unmixing from a convex analysis and optimization ...
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By the notion of convex analysis, we formulate two optimization problems for solving hyperspectral unmixing, which have the intuitive ideas following the works ...
Hyperspectral unmixing from a convex analysis and optimization ...
清華大學電機系
https://www.ee.nthu.edu.tw › cychi › publications
清華大學電機系
https://www.ee.nthu.edu.tw › cychi › publications
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In hyperspectral remote sensing, unmixing a data cube into spec- tral signatures and their corresponding abundance fractions plays a.
Hyperspectral Unmixing from A Convex Analysis and ...
國立清華大學
https://mx.nthu.edu.tw › WHISPERS_Tsung-Han
國立清華大學
https://mx.nthu.edu.tw › WHISPERS_Tsung-Han
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由 TH Chan 著作被引用 18 次 — We have provided a convex analysis and optimization perspective to hyperspectral unmixing, from dimension reduction, criteria, to algorithms. Open questions ...
(PDF) Hyperspectral unmixing from a convex analysis and ...
ResearchGate
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2015年12月15日 — This paper describes a convex analysis perspective to (unsupervised) hyperspectral unmixing. Such an endeavor is not only motivated by the ...
A SIGNAL PROCESSING PERSPECTIVE ON ... - CUHK EE
The Chinese University of Hong Kong
https://www.ee.cuhk.edu.hk › HU_SPM2014
The Chinese University of Hong Kong
https://www.ee.cuhk.edu.hk › HU_SPM2014
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由 WK Ma 著作被引用 523 次 — Blind hyperspectral unmixing (HU), also known as unsuper- vised HU, is one of the most prominent research topics in sig- nal processing for hyperspectral remote ...
15 頁
ArulMurugan Ambikapathi - Google 学术搜索
Google Scholar
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Google Scholar
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Hyperspectral unmixing from a convex analysis and optimization perspective. TH Chan, WK Ma, CY Chi, A ArulMurugan. 2009 First Workshop on Hyperspectral Image ...
(PDF) A Convex Analysis-Based Minimum-Volume ...
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2024年10月22日 — Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or ...
基於凸分析之超光譜影像分離演算法
Airiti Library 華藝線上圖書館
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由 YM Huang 著作2008 — Convex Analysis Based Unmixing Algorithm for Hyperspectral Imaging. 黃郁閔(Yu-Min Huang). 指導教授： 祁忠勇 ； 馬榮健. 國立清華大學/電機資訊學院/通訊工程研究所 ...
缺少字詞： optimization perspective.
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Hyperspectral Unmixing With Row-Sparsity Enhancement
APSIPA ASC 2024
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由 K Naganuma 著作 — Abstract—This paper proposes a new hyperspectral unmixing method that enhances the row sparsity of an abundance matrix via a difference-of-convex (DC) ...
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The Chinese University of Hong Kong
https://www.ee.cuhk.edu.hk › ~wkma
The Chinese University of Hong Kong
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Ma, "A convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing," IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4418-4432 ...
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