Journal of Infrared and Millimeter Waves, Volume. 40, Issue 3, 400(2021)

Hyperspectral image classification combing local binary patterns and k-nearest neighbors algorithm

Jin-Ling ZHAO1,2、*, Lei HU2, Hao YAN2, Guo-Min CHU2, Yan FANG2, and Lin-Sheng HUANG1,2、**
Author Affiliations
  • 1National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601,China
  • 2School of Electronics and Information Engineering, Anhui University, Hefei 230601, China
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    References(28)

    [13] Jin Rui, Li Xiao-Xian, Yan Yi-Yun et al. Detection method of multi-target recognition of potato based on fusion of hyperspectral imaging and spectral information[J]. Transactions of the Chinese Society of Agricultural Engineering, 31, 258-263(2015).

    [18] Huang Hong, Zheng Xin-lei. Hyperspectral image classification with combination of weighted spatial-spectral and KNN[J]. Optics and Precision Engineering, 24, 873-881(2016).

    [26] Wang Xiao-Fei, Zhang Jun-Ping, Zhang Ye. Unmixing algorithm of hyperspectral image[J]. J. Infrared Millim. Waves, 29, 210-215, 229(2010).

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    Jin-Ling ZHAO, Lei HU, Hao YAN, Guo-Min CHU, Yan FANG, Lin-Sheng HUANG. Hyperspectral image classification combing local binary patterns and k-nearest neighbors algorithm[J]. Journal of Infrared and Millimeter Waves, 2021, 40(3): 400

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    Paper Information

    Category: Research Articles

    Received: Jun. 29, 2020

    Accepted: --

    Published Online: Sep. 9, 2021

    The Author Email: Jin-Ling ZHAO (zhaojl@ahu.edu.cn), Lin-Sheng HUANG (linsheng0808@163.com)

    DOI:10.11972/j.issn.1001-9014.2021.03.017

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