Study on Detection of Chilled Mutton Freshness Based on Hyperspectral Imaging Technique and Sparse Kernel Canonical Correlation Analysis

JIANG Xin-hua; XUE He-ru; GAO Xiao-jing; ZHANG Li-na; ZHOU Yan-qing; DU Ya-juan

doi:10.3964/j.issn.1000-0593(2018)08-2498-07

Journals >Spectroscopy and Spectral Analysis >Volume 38 >Issue 8 >Page 2498 > Article

Spectroscopy and Spectral Analysis
Vol. 38, Issue 8, 2498 (2018)

Study on Detection of Chilled Mutton Freshness Based on Hyperspectral Imaging Technique and Sparse Kernel Canonical Correlation Analysis

JIANG Xin-hua^1、*, XUE He-ru¹, GAO Xiao-jing¹, ZHANG Li-na², ZHOU Yan-qing¹, and DU Ya-juan^1、3

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2018)08-2498-07 Cite this Article

JIANG Xin-hua, XUE He-ru, GAO Xiao-jing, ZHANG Li-na, ZHOU Yan-qing, DU Ya-juan. Study on Detection of Chilled Mutton Freshness Based on Hyperspectral Imaging Technique and Sparse Kernel Canonical Correlation Analysis[J]. Spectroscopy and Spectral Analysis, 2018, 38(8): 2498 Copy Citation Text

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References

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[13] Bach F R, Jordan M I. Journal of Machine Learning Research, 2002， 3： 1.

[14] Tibshirani R. Journal of the Royal Statistical Society, 1996, 58(3): 267.

[19] Hale E T, Yin, W, Zhang Y. A Fixed-Point Continuation Method for l-Regularized Minimization with Applications to Compressed Sensing. 2007, CAAM Technical Report TR07-07.

[20] Kou C X, Dai Y H. Journal of Optimization Theory and Applications, 2015, 165(1): 209

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