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Spectral unmixing is a very important technique for remotely sensed hyperspectral unmixing. Since more hyperspectral applications now require real or near real-time processing capabilities, fast spectral unmixing using field-programmable gate arrays (FPGAs) has received considerable interest in recent years.
Cong Li +3 more
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A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction
Endmember extraction is very important in hyperspectral image analysis. The accurate identification of endmembers enables target detection and classification and efficient spectral unmixing. Although a number of endmember extraction algorithms have been proposed, such as two state-of-the-art algorithms-vertex component analysis (VCA) and simplex ...
Junmin Liu, Jiangshe Zhang
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Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization [PDF]
Simplex-structured matrix factorization (SSMF) is a generalization of nonnegative matrix factorization, a fundamental interpretable data analysis model, and has applications in hyperspectral unmixing and topic modeling.
Nicolas Gillis +2 more
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A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction
IEEE Transactions on Geoscience and Remote Sensing, 2012Junmin Liu, Jiangshe Zhang
exaly
A Maximum Volume Simplex Constrained Automatic Endmember Extraction Algorithm
LI Erse
openalex
Maximum Simplex Volume: An Efficient Unsupervised Band Selection Method for Hyperspectral Image
IET Computer Vision, 2019Shuying Li
exaly
A Specialized Network Simplex Algorithm for the Constrained Maximum Flow Problem
European Journal of Operational Research, 2011Cenk Çalışkan
exaly
On Strongly Polynomial Variants of the Network Simplex Algorithm for the Maximum Flow Problem
Operations Research Letters, 1991Donald Goldfarb
exaly

