Study on Hyperspectral Identification Method of Rice Origin in Northeast/Non-Northeast China Based on Conjunctive Model

LIN Long; WU Jing-zhu; LIU Cui-ling; YU Chong-chong; LIU Zhi; YUAN Yu-wei

doi:10.3964/j.issn.1000-0593(2020)03-0905-06

Journals >Spectroscopy and Spectral Analysis >Volume 40 >Issue 3 >Page 905 > Article

Spectroscopy and Spectral Analysis
Vol. 40, Issue 3, 905 (2020)

Study on Hyperspectral Identification Method of Rice Origin in Northeast/Non-Northeast China Based on Conjunctive Model

LIN Long¹, WU Jing-zhu¹, LIU Cui-ling¹, YU Chong-chong¹, LIU Zhi², and YUAN Yu-wei²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2020)03-0905-06 Cite this Article

LIN Long, WU Jing-zhu, LIU Cui-ling, YU Chong-chong, LIU Zhi, YUAN Yu-wei. Study on Hyperspectral Identification Method of Rice Origin in Northeast/Non-Northeast China Based on Conjunctive Model[J]. Spectroscopy and Spectral Analysis, 2020, 40(3): 905 Copy Citation Text

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References

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[8] Araùjo M C U, Saldanha T C B, Galvo R K H, et al. Chemometrics and Intelligent Laboratory Systems, 2001, 57(2): 65.

[10] Dalal N, Triggs B. Histograms of Oriented Gradients for Human Detection, Computer Vision and Pattern Recognition, 2005. CVPR2005. IEEE Computer Society Conference on, 2005. 886.

[11] Giorgos Mountrakis, Jungho Im, Caesar Ogole. Elsevier, 2010, 66(3): 247.

[12] Baassou Belkacem, He Mingyi, Mei Shaohui. An Accurate SVM-Based Classification Approach for Hyperspectral Image Classification, IEEE Computer Society (Geoinformatics 2013), 2013.

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