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JIN GUO1,2,* , SHENGBING ZHANG1, ZHENG QIU3
As the detection performance of airborne photoelectric system is difficult to evaluate, this paper proposes a quantitative calculation method of target information fusion detection probability for infrared sensor and low light level sensor, analyze s the influencing factors of target detection probability from three aspects of radiation characteristics of target and background, transmission characteristics and imaging characteristics of detector, establishes the detection probability calculation model of target information fusion, based on fuzzy Bayesian network theory, according to target features of airborne photoelectric sensors and threaten effect, gives out fuzzy Bayesian network model of target threat assessment. Experimental results show that as fusion quality factor is less than 1, the quality of fusion image declines compared with the source image; the target threat is obtained through Bayesian Network algorithm, the simulation of the threat assessment processing proves the validity of the model and the reliability of the results. Methods proposed in this paper can calculate the target detection probability of image fusion in airborne photoelectric system and assess the target threat..
Target information fusion, Detection probability, Threat assessment, Airborne photoelectric.
JIN GUO, SHENGBING ZHANG, ZHENG QIU, Composite detection probability and assessment methods of photoelectric airborne, Optoelectronics and Advanced Materials - Rapid Communications, 11, 9-10, September-October 2017, pp.534-539 (2017).
Submitted at: March 30, 2017
Accepted at: Oct. 10, 2017
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
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