Abstract
Advances in infrared detection techniques require novel spectrum dynamic-modification 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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This study was supported by National Natural Science Foundation of China (Grant No. 61975222).
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Ni, X., Yu, S., Su, X. et al. Detection spectrum optimization of stealth aircraft targets from a space-based infrared platform. Opt Quant Electron 54, 151 (2022). https://doi.org/10.1007/s11082-021-03451-4
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DOI: https://doi.org/10.1007/s11082-021-03451-4