Haoxian Wang, Heng Dong, Zhiquan Zhou. Review on Dim Small Target Detection Technologies in Infrared Single Frame Images[J]. Laser & Optoelectronics Progress, 2019, 56(8): 080001

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- Laser & Optoelectronics Progress
- Vol. 56, Issue 8, 080001 (2019)

Fig. 1. Infrared images and three-dimensional (3D) intensity distributions. (a) Actual infrared image 1 containing small target; (b) 3D intensity distribution in small target area of image 1; (c) actual infrared image 2 containing small target; (d) 3D intensity distribution in small target area of image 2
![Infrared dim small targets in complex background. (a) Dim small target in sea-sky background; (b) bright target in sea-sky background; (c) dim small target in sky cloud background; (d) bright target in sky-ground background[12]](/richHtml/lop/2019/56/8/080001/img_2.jpg)
Fig. 2. Infrared dim small targets in complex background. (a) Dim small target in sea-sky background; (b) bright target in sea-sky background; (c) dim small target in sky cloud background; (d) bright target in sky-ground background[12]

Fig. 3. Filter template structure of Robinson Guard with window size of 5×5

Fig. 4. Nine parts of sliding window

Fig. 5. Patch-image construction from original image by using image patches

Fig. 6. Steps of algorithm

Fig. 7. Representative images in four datasets. (a) Dataset 1; (b) dataset 2; (c) dataset 3; (d) dataset 4

Fig. 8. Four representative images in dataset 5. (a) Image 1; (b) image 2; (c) image 3; (d) image 4
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Table 1. GSCR of datasets 1-5 processed by different algorithms
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Table 2. Background suppress factor (BSF) values of datasets 1-5 processed by different algorithms

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