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Infrared and Laser Engineering, Volume. 51, Issue 4, 20220167(2022)

Highly dynamic aerial polymorphic target detection method based on deep spatial-temporal feature fusion (Invited)

Peng Sun, Yue Yu, Jiaxin Chen, and Hanlin Qin
Author Affiliations
  • School of Optoelectronic Engineering, Xidian University, Xi'an 710071, China
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    Equations(3)
    $ {D_t}(x,y) = \left| {{I_t}(x,y) - {I_{t - 1}}(x,y)} \right| $(1)

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    $ {B_t}(x,y) = \left\{ \begin{array}{l} 255 , {\rm{if}}\; {D_t}(x,y) \gt \lambda \\ 0 , \;{\rm{ else}} \\ \end{array} \right. $(2)

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    $ {M_t} = \mathop {\max }\limits_{ - k \leqslant {x'} \leqslant k, - k \leqslant {y'} \leqslant k,{x'} \ne 0,{y'} \ne 0} {I_t}(x + {x'},y + {y'}) $(3)

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    Peng Sun, Yue Yu, Jiaxin Chen, Hanlin Qin. Highly dynamic aerial polymorphic target detection method based on deep spatial-temporal feature fusion (Invited)[J]. Infrared and Laser Engineering, 2022, 51(4): 20220167

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    Paper Information

    Category: Special issue—Infrared detection and recognition technology under superspeed flow field

    Received: Mar. 10, 2022

    Accepted: --

    Published Online: May. 18, 2022

    The Author Email:

    DOI:10.3788/IRLA20220167

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology