• Journal of Infrared and Millimeter Waves
  • Vol. 39, Issue 1, 99 (2020)
Wei LIU, Hai-Xia SUN, and Xiao-Bo YANG
Author Affiliations
  • Xizang Key Laboratory of Optical Information Processing and Visualization Technology, Xizang Minzu University,Xianyang72082, China
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    DOI: 10.11972/j.issn.1001-9014.2020.01.014 Cite this Article
    Wei LIU, Hai-Xia SUN, Xiao-Bo YANG. Hierarchical spectrum recognition based on hyper-spectral imagesa case study in Lanzhou and Yulin[J]. Journal of Infrared and Millimeter Waves, 2020, 39(1): 99 Copy Citation Text show less
    References

    [1] Qing-Xi TONG, Yong-Qi XUE, Li-Fu ZHANG. Progress in hyperspectral remote sensing science and technology in China over the past three decades. IEEE Journal of Selected Topics Applied Earth Observation Remote Sensing, 7, 70-91(2014).

    [5] Chun-hui ZHAO, Xin-peng WANG, Xi-feng YAO, Ming-hua TIAN. A background refinemen t method based onocal density for hyperspectral anomaly detection. Journal of Central South University, 25, 84-94(2018).

    [12] X J Sun, L F Zhang, H Yang, T X Wu, Y Cen Y and Guo. En-hancement of spectral resolution for remotely sensed multispec-tral image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 2198-2211(2015).

    [17] Chunyan LIU, Hongqin GUO, Xuehong ZHANG, Jian CHEN. Combining Decision Trees with Angle Indices to Identify Mangrove Forest at Shenzhen Bay, China. Journal of Resources and Ecology, 8, 545-549(2017).

    Wei LIU, Hai-Xia SUN, Xiao-Bo YANG. Hierarchical spectrum recognition based on hyper-spectral imagesa case study in Lanzhou and Yulin[J]. Journal of Infrared and Millimeter Waves, 2020, 39(1): 99
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