Infrared and Laser Engineering, Volume. 44, Issue 10, 3155(2015)

A band selection method based on improved subspace partition

Zhao Huijie1、*, Li Mingkang1, Li Na1, Ding Hao1, and Cai Hui2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(11)

    [1] [1] Wang Jingli. Maximum band screening and its application to hyperspectral target detection[J]. Infrared and Laser Engineering, 2012, 41(6): 1514-1519. (in Chinese)

    [2] [2] Wang Yiting, Huang Shiqi, Liu Daizhi, et al. Novel band selection method based on target detection[J]. Infrared and Laser Engineering, 2013, 42(8): 2294-2298. (in Chinese)

    [3] [3] Bajcsy P, Groves P. Methodology for hyper spectral band selection photogram metric engineering and remote sensing [J]. Photogrammetric Engineering and Remote Sensing Journal, 2004, 70(7): 793-802.

    [4] [4] Liu Jianping, Zhao Yingshi, Sun Shuling. Experimental studies about methods on optimal bands selection of hyperspectral remote sensing datasets[J]. Remote Sensing Technology and Application, 2001, 16(1): 7-13. (in Chinese)

    [5] [5] Yang Jinhong. Optimal band selection methods of hypersepctral remote sensing data[D]. Nanjing: Nanjing University of Information Science&Technology, 2005.(in Chinese)

    [6] [6] Liu Chunhong, Zhao Chunhui, Zhang Lingyan. A new method of hyperspectral remote sensing image dimensional reduction[J]. Journal of Image and Graphics, 2005, 10(2) :218-222.(in Chinese)

    [7] [7] Gu Yanfeng, Zhang Ye. Feature extraction based on automatic subspace partition for hypersepctral images[J]. Remote Sensing Technology and Application, 2003, 18(6):32-35. (in Chinese)

    [8] [8] Dong Yanhua. Research on key technology of hyperspectral remote sensing image processing[D]. Harbin: Harbin University of Science and Technology, 2006. (in Chinese)

    [9] [9] Han Ruimei, Yang Minhua. Study on an improved method of band selection of hypersepctral remote sensing data[J]. Geomatics & Spatial Information Technology, 2010, 33(3):137-139. (in Chinese)

    [10] [10] Guo Baofeng, Gunn Steve R, Damper R I. Band selection for hyperspectral image classification using mutual information[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(4): 522-526.

    [11] [11] Wang Liguo, Wei Fangjie. Band selection for hypersepctral imagery based on combination of genetic algorithm and ant colony algorithm[J]. Journal of Image and Graphics, 2013, 18(2): 235-242. (in Chinese)

    CLP Journals

    [1] Hou Banghuan, Yao Minli, Jia Weimin, Shen Xiaowei, Jin wei. Hyperspectral image classification based on spatial-spectral structure preserving[J]. Infrared and Laser Engineering, 2017, 46(12): 1228001

    [2] Zhang Aiwu, Kang Xiaoyan. Hyperspectral images band selection algorithm through p-value statistic modeling independence[J]. Infrared and Laser Engineering, 2018, 47(9): 926005

    [3] Zhang Aiwu, Du Nan, Kang Xiaoyan, Guo Chaofan. Hyperspectral adaptive band selection method through nonlinear transform and information adjacency correlation[J]. Infrared and Laser Engineering, 2017, 46(5): 538001

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    Zhao Huijie, Li Mingkang, Li Na, Ding Hao, Cai Hui. A band selection method based on improved subspace partition[J]. Infrared and Laser Engineering, 2015, 44(10): 3155

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    Paper Information

    Category: 光学图像识别

    Received: Feb. 5, 2015

    Accepted: Mar. 3, 2015

    Published Online: Jan. 26, 2016

    The Author Email: Huijie Zhao (hjzhao@buaa.edu.cn)

    DOI:

    CSTR:32186.14.

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