Anti-Interference Aircraft-Tracking Method in Infrared Imagery

Wu, Sijie; Zhang, Kai; Niu, Shanzhou; Yan, Jie

doi:10.3390/s19061289

Cited by 11 publications

(8 citation statements)

References 67 publications

(77 reference statements)

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“…The former experiments were conducted on synthetic infrared imagery, composed of simulated aircraft and a real cloud background. The aircraft was simulated based on the OpenScene-Graph (OSG) toolkit and was rendered according to its infrared signatures [37][38][39][40]. The generation of the simulated image was integrated with the navigation and guidance processes of the missile.…”

Section: Evaluating the Tracking Benchmarkmentioning

confidence: 99%

Learning to Track Aircraft in Infrared Imagery

Zhang

et al. 2020

Remote Sensing

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Airborne target tracking in infrared imagery remains a challenging task. The airborne target usually has a low signal-to-noise ratio and shows different visual patterns. The features adopted in the visual tracking algorithm are usually deep features pre-trained on ImageNet, which are not tightly coupled with the current video domain and therefore might not be optimal for infrared target tracking. To this end, we propose a new approach to learn the domain-specific features, which can be adapted to the current video online without pre-training on a large datasets. Considering that only a few samples of the initial frame can be used for online training, general feature representations are encoded to the network for a better initialization. The feature learning module is flexible and can be integrated into tracking frameworks based on correlation filters to improve the baseline method. Experiments on airborne infrared imagery are conducted to demonstrate the effectiveness of our tracking algorithm.

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Section: Evaluating the Tracking Benchmarkmentioning

confidence: 99%

Learning to Track Aircraft in Infrared Imagery

Zhang

et al. 2020

Remote Sensing

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“…The infrared signature research of the target is the premise of analyzing its detectability (Li, N. et al 2016;Chen, H. et al 2019;Cheng, W. et al 2019;Sun, W. et al 2019;Wu, S. et al 2019;Nam, J. et al 2020). The high-temperature plume and the high-temperature of the aircraft skin produced by the stealth aircraft in highspeed flight have prominent infrared radiation characteristics.…”

Section: Introductionmentioning

confidence: 99%

Detection spectrum optimization of stealth aircraft targets from a space-based infrared platform

et al. 2022

Opt Quant Electron

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Advances in infrared detection techniques require novel spectrum dynamicmodification strategies capable of sensing unprecedentedly low target radiant intensities. A conventional fixed-spectrum detection system cannot satisfy the effective detection of stealth aircraft targets due to complex Earth background clutter and atmospheric attenuation. Therefore, a detection method that can highlight aircraft targets is urgently needed to enhance stealth aircraft detectability. In this research, a spectrum set consisting of different bandwidths associated with a central wavelength is established. Furthermore, a signal-to-noise ratio of the stealth aircraft is computed using the established spectrum set. Finally, the optimal spectrum is selected according to the maximal signal-to-noise ratio from the spectrum set. Our numerical experiments and simulations further demonstrate that the proposed methodology can substantially strengthen the detection performance of stealth aircraft compared with traditional fixed-spectrum detection systems. This work on detection spectrum optimization paves the way to stealth aircraft detection and opens new vistas in the field of target detection technology.

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“…The infrared seeker recognizes the target by sensing infrared energy. Therefore, the infrared seeker is easily disturbed by the infrared decoy that is released by the target [12,13]. The process from releasing the infrared decoy to seeker recognition of the real target is called the anti-infrared decoy state.…”

Section: Introductionmentioning

confidence: 99%

Line-of-sight rates extraction of roll-pitch seeker under anti-infrared decoy state

Li²,

Xia

2021

J. of Syst. Eng. Electron.

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In this paper, the method of extracting guidance information such as the line-of-sight (LOS) rates under the anti-infrared decoy state for the roll-pitch seeker is researched. Coordinate systems which are used to describe the angles transform are defined. The LOS angles reconstruction model of the roll-pitch seeker in inertial space is established. A Kalman filter model for extracting LOS rates of the roll-pitch seeker is proposed. In this model, the target performs constant acceleration (CA) model maneuvers. The error model of LOS rates extraction under infrared decoy state is established. Several existing methods of extracting LOS rates under anti-infrared decoy state are listed in this paper. Different from the existing methods, a novel method that uses extrapolated values of target accelerations as filter measurements is proposed to solve the guidance information extraction problem under the anti-infrared decoy state. Numerical simulations are conducted to verify the effectiveness of the proposed method under different target maneuvering models such as the CA model, the CA extended model and the singer model. The simulation results show that the proposed method of extracting guidance information such as LOS rates for the rollpitch seeker under the anti-infrared decoy state is effective.

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Anti-Interference Aircraft-Tracking Method in Infrared Imagery

Cited by 11 publications

References 67 publications

Learning to Track Aircraft in Infrared Imagery

Learning to Track Aircraft in Infrared Imagery

Detection spectrum optimization of stealth aircraft targets from a space-based infrared platform

Line-of-sight rates extraction of roll-pitch seeker under anti-infrared decoy state

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