Fig. 1. Detection scheme of proposed algorithm

Fig. 2. Detection scheme of typical FCN

Fig. 3. Detection scheme of MDvsFA_cGAN

Fig. 4. Network structure of proposed algorithm

Fig. 5. Overall flow of CBAM

Fig. 6. Overall flow of CAM

Fig. 7. Overall flow of SAM

Fig. 8. Real infrared images and binarised labels

Fig. 9. Point source generated by PSF combined with rotation transformation

Fig. 10. Synthetic infrared images and labels based on PSF

Fig. 11. Synthetic infrared images and labels based on Mosaic

Fig. 12. Correspondence of indicator variable

Fig. 13. Effects comparison of different epoch

Fig. 14. R_{F_measure} index comparison of typical deep learning model. (a) R_{F_measure} metric iterations for each deep learning model on the IR_GS Dataset; (b) R_{F_measure} metric iterations for each deep learning model on the IR_GMS Dataset

Fig. 15. Comparison of detection results for different algorithms

Fig. 16. Given infrared images and predicted results