• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 7, 2247 (2022)
Cheng-kun WANG2、*, Peng ZHAO1、1; 2; *;, and Xiang-hua LI2、2;
Author Affiliations
  • 11. College of Computer Science and Electronics, Guangxi University of Science and Technology, Liuzhou 545006, China
  • 22. College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China
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    DOI: 10.3964/j.issn.1000-0593(2022)07-2247-08 Cite this Article
    Cheng-kun WANG, Peng ZHAO, Xiang-hua LI. Similar Wood Species Classification Within Pterocarpus Genus Using Feature Fusion[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2247 Copy Citation Text show less
    References

    [1] Silva S F da, A B Gontijo, Geus A R de et al. Multimedia Tools and Applications, 79, 34513(2020).

    [2] M I P Zamri, F Cordova, A S M Khairuddin et al. Computers and Electronics in Agriculture, 124, 227(2016).

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    [4] E Suhartono, E Prakasa, A S Oktaria. Journal of Information Technology and Computer Science, 4, 274(2019).

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    [6] A S M Khairuddin, M Khalid, R Yusof. Computers and Electronics in Agriculture, 93, 68(2013).

    [7] N P Doshi, G Schaefer. A Comparative Analysis of Local Binary Pattern Texture Classification. IIEEE Conference on Visual Communications and Image Processing. EEE(2012).

    [8] I Ibrahim, A S M Khairuddin, M S A Talip et al. Wood Science and Technology, 51, 431(2017).

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    [11] Q S Sun, S G Zeng, Y Liu et al. Pattern Recognition, 38, 2437(2005).

    [12] M Haghighat, M Abdel-Mottaleb, W Alhalabi. Expert Systems with Applications, 47, 23(2016).

    [13] M W Browne. Journal of Mathematical Psychology, 44, 108(2000).

    Cheng-kun WANG, Peng ZHAO, Xiang-hua LI. Similar Wood Species Classification Within Pterocarpus Genus Using Feature Fusion[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2247
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