• Journal of Infrared and Millimeter Waves
  • Vol. 38, Issue 5, 642 (2019)
QIAO Kai1, ZHI Xi-Yang2、*, YANG Dong3, GONG Jin-Nan2, and HU Jian-Ming2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.11972/j.issn.1001-9014.2019.05.015 Cite this Article
    QIAO Kai, ZHI Xi-Yang, YANG Dong, GONG Jin-Nan, HU Jian-Ming. A performance characterization and matching design method of space-based optical detection for weak aerial target[J]. Journal of Infrared and Millimeter Waves, 2019, 38(5): 642 Copy Citation Text show less

    Abstract

    Aiming for long-distance optical detection of weak aerial targets,we in this paper propose a method of performance characterization and key indexes matching design for a space-based detection system. Firstly,we analyze the main factors that affect the optical detectability of weak targets under complex environment based on the fulllink of the space-based detection system,including scene clut-ter,spectral radiation scale and geometric scale of detection system,etc. We then combine the above influencing factors to establish a performance characterization model which represents the relationship between the image signal-to-noise ratio of target and the above-mentioned influencing factors,that is, the performance representation model ofthe detection system. Finally,taking atypicaldetection scene as an example,by studying signal-to-noise ratio of target under different scene clutter and multi-scale coupling characteristics,the optimization of detection spectrum and its matching design with spatial resolution are proposed,which can provide theoretical basis and scientific guidance for the design of the space-based detection system,demonstration of system indexes and optimization of information processing algorithms.
    QIAO Kai, ZHI Xi-Yang, YANG Dong, GONG Jin-Nan, HU Jian-Ming. A performance characterization and matching design method of space-based optical detection for weak aerial target[J]. Journal of Infrared and Millimeter Waves, 2019, 38(5): 642
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