Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1285(2022)

Adaptability Analysis of Multiple Features Detection Algorithms Based on Fusion Degree Model Between Target and Environment

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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    References(6)

    [2] Wang N, Zhai Y, Zhang L et al[D]. IEEE Geoscience Remote Sensing Letter, 13, 1059(2016).

    [7] Ingram J, Lo E. Hyperspectral Anomaly Detection Based on Minimum Generalized Variance Method[D]. Proc SPIE, 6966, 696603(2008).

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

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

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

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    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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    Paper Information

    Category: Research Articles

    Received: Dec. 11, 2020

    Accepted: --

    Published Online: Jul. 25, 2023

    The Author Email: Tian-cai ZHANG (cenyi@radi.ac.cn)

    DOI:10.3964/j.issn.1000-0593(2022)04-1285-08

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