• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 4, 1285 (2022)
Xian-ming DENG1、1;, Tian-cai ZHANG1、*, Zeng-can LIU1、1;, Zhong-sheng LI1、1;, Jie XIONG1、1;, Yi-xiang ZHANG1、1;, Peng-hao LIU1、1;, Yi CEN2、2; *;, and Fa-lin WU1、1;
Author Affiliations
  • 11. The 59th Research Institute of China Ordnance Industry, Chongqing 400039, China
  • 22. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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    DOI: 10.3964/j.issn.1000-0593(2022)04-1285-08 Cite this Article
    Xian-ming DENG, Tian-cai ZHANG, Zeng-can LIU, Zhong-sheng LI, Jie XIONG, Yi-xiang ZHANG, Peng-hao LIU, Yi CEN, Fa-lin WU. Adaptability Analysis of Multiple Features Detection Algorithms Based on Fusion Degree Model Between Target and Environment[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1285 Copy Citation Text show less
    References

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    [9] H Ren, M Hsueh, C I Chang et al. Proc SPIE, 5159, 339(2004).

    [10] Q Du, H Ren, C I Chang et al. Comparison Between Constrained Energy Minimization Based Approaches for Hyperspectral Imagery. IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data(2003).

    [12] C I Chang. Hyperspectral Data Processing: Algorithm Design and Analysis. John Wiley & Sons(2013).

    [14] O Weatherbee, J A Herweg, J P Kerekes et al. Proc SPIE, 8390, 839028(2012).

    Xian-ming DENG, Tian-cai ZHANG, Zeng-can LIU, Zhong-sheng LI, Jie XIONG, Yi-xiang ZHANG, Peng-hao LIU, Yi CEN, Fa-lin WU. Adaptability Analysis of Multiple Features Detection Algorithms Based on Fusion Degree Model Between Target and Environment[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1285
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