• Infrared Technology
  • Vol. 42, Issue 4, 348 (2020)
Lingzhi WANG1, Zhenggang LEI1、*, Hao ZHOU2, Chunchao YU1, Zhixiong YANG1, Shaoli DUAN1, and Dong NIE1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    WANG Lingzhi, LEI Zhenggang, ZHOU Hao, YU Chunchao, YANG Zhixiong, DUAN Shaoli, NIE Dong. Long-wave Infrared Hyperspectral Image Classification Based on K-means of Spatial-Spectral Features[J]. Infrared Technology, 2020, 42(4): 348 Copy Citation Text show less
    References

    [9] Selim S Z, Ismail M A. K-means-type algorithms: a generalized convergence theorem and characterization of local optimality[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984, 6(1): 81-87.

    [10] Modha D S, Spangler W S. Feature weighting ink-means clustering[J]. Machine Learning, 2003, 52(3): 217-237.

    [15] ZHENG Weijian, LEI Zhenggang, YU Chunchao, et al. Research on ground-based LWIR hyperspectral imaging remote gas detection[C/OL]//Applied Optics and Photonics China, 2015: DOI:10.1117/12.2199686.

    WANG Lingzhi, LEI Zhenggang, ZHOU Hao, YU Chunchao, YANG Zhixiong, DUAN Shaoli, NIE Dong. Long-wave Infrared Hyperspectral Image Classification Based on K-means of Spatial-Spectral Features[J]. Infrared Technology, 2020, 42(4): 348
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