Infrared and Laser Engineering, Volume. 52, Issue 4, 20220548(2023)
Target recognition method of digital laser imaging fuze in ultra-low sea background
Fig. 2. (a) Dynamic sea surface geometric model with wind speed of 3 m/s and wind direction of 0°; (b) Dynamic sea surface geometric model with wind speed 10 m/s and wind direction 45°
Fig. 3. (a) Sea surface echo simulation scene for 45° field of view detection;(b) Sea surface echo simulation scene for 2° field of view detection
Fig. 4. (a) Variation curves of wide-field detection echo with incident angle in low sea state;(b) Variation curves of wide-field detection echo with incident angle in high sea state
Fig. 5. (a) Variation curves of narrow-field detection echo with incident angle in low sea state;(b) Variation curves of narrow-field detection echo with incident angle in high sea state
Fig. 6. (a) Target digital model;(b) Target laser echo power curves with different pitch angles
Fig. 9. (a) Original point cloud distribution of the target in the sea background;(b) Point cloud distribution after pass-through filtering;(c) Point cloud distribution after erosion operation;(d) Point cloud distribution after mathematical morphology filtering
Fig. 10. (a) Layout principle of laser echo characteristic test for artificially simulated sea surface;(b) Artificial simulation of the sea scene
Fig. 11. (a) Dynamic distribution of echoes with a narrow-field laser beam incident angle of 0°; (b) Dynamic distribution of echoes with a narrow-field laser beam incident angle of 4°; (c) Dynamic distribution of echoes with a narrow-field laser beam incident angle of 7°
Fig. 12. (a) Dynamic distribution of echoes with a wide-field laser beam incident angle of 0°; (b) Dynamic distribution of echoes with a wide-field laser beam incident angle of 10°; (c) Dynamic distribution of echoes with a wide-field laser beam incident angle of 15°
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Xiangsheng Meng, Lekun Li. Target recognition method of digital laser imaging fuze in ultra-low sea background[J]. Infrared and Laser Engineering, 2023, 52(4): 20220548
Category: Image processing
Received: Aug. 3, 2022
Accepted: --
Published Online: Jul. 4, 2023
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