Shuai Yuan, Xiang Yan, Yugeng Zhang, Hanlin Qin. High-dynamic infrared small target detection based on double-neighborhood difference amplification method(Invited)[J]. Infrared and Laser Engineering, 2022, 51(4): 20220171
- Infrared and Laser Engineering
- Vol. 51, Issue 4, 20220171 (2022)
Fig. 1. (a) Infrared image of the dark target and the local 3D gray image of the target; (b) Infrared image of the bright target and the local 3D gray image of the target
Fig. 2. (a) Working mode of sliding window and the division of multi-layer area; (b) A number of subwindows within a sliding window; (c) Schematic diagram of interpolation multiplication in four directions of the algorithm in this paper
Fig. 3. (a) Small size target detection; (b) Large size target detection
Fig. 4. Detection result of multi-scale bright and dark target by DDAM
Fig. 5. Flow chart of small object detection
Fig. 6. Detection results of nine algorithms for three groups of real infrared sequences
Fig. 7. TTSM construction diagram
Fig. 8. Nine algorithms for TTSM of three sets of real infrared sequences
Fig. 9. ROC curves of nine algorithms under three different scenes
Fig. 10. Detection results of DDAM in nine consecutive frames of complex scenes
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Table 1. Three groups of test data parameters
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Table 2. \begin{document}$ \overline{\mathrm{S}\mathrm{C}\mathrm{R}\mathrm{G}} $\end{document} ![]()
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\begin{document}$ \overline{\mathrm{B}\mathrm{S}\mathrm{F}} $\end{document} ![]()
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Table 3. Detection accuracy of nine algorithms in three groups of stypical cenarios
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Table 4. Average performance comparison of several target detection algorithms on twelve scences
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