Journal of System Simulation
Abstract
Abstract: Aiming at the problem of infrared aerospace small target's detecting under complex background, an intelligent algorithm was proposed based on the non-subsampled contourlet transform and BP neutral network. By using the morphologic top-hat transform which had adaptive structural element, some infrared background was suppressed. By defining the center vector of subband coefficients, the proposed method constructed the synthetical image at high frequency and suppressed the complex background further. Subsequently, taking pixel's gray level, horizontal gradient, vertical gradient, diagonal gradient, neighbour mean and neighbour variance as input character vector, a BP neutral network which had three layers was constructed by training and infrared small target was detected in the end by this network. The experimental results show that the method can not only realize the suppression for the infrared complex background effectively, but also detect the small target whose SNR is above 2 steadily.
Recommended Citation
Gang, Liu; Xu, Xingyuan; Heng, Zhou; and Zhang, Xitao
(2020)
"Intelligent Detecting for Infrared Aerial Small Target Based on Non-subsampled Contourlet Transform,"
Journal of System Simulation: Vol. 27:
Iss.
7, Article 12.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol27/iss7/12
First Page
1490
Revised Date
2015-01-13
DOI Link
https://doi.org/
Last Page
1495
CLC
TP391.41
Recommended Citation
Liu Gang, Xu Xingyuan, Zhou Heng, Zhang Xitao. Intelligent Detecting for Infrared Aerial Small Target Based on Non-subsampled Contourlet Transform[J]. Journal of System Simulation, 2015, 27(7): 1490-1495.
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