Ronghua LI, Xinchen ZHOU, Chuanxin WENG, Haopeng XUE, Jinlong WU, Chenyu LIN. Non-contact infrared laser physical property inversion method for target surface based on SSA-GRNN[J]. Infrared and Laser Engineering, 2024, 53(10): 20240217
- Infrared and Laser Engineering
- Vol. 53, Issue 10, 20240217 (2024)
Fig. 1. Flowchart of the physical inversion method
Fig. 2. Neural network model of GRNN
Fig. 3. Physical inversion process
Fig. 4. Target to be tested
Fig. 5. Echo intensity measurements of different materials at the same distance
Fig. 6. Echo intensity measurement results at different distances with the same material
Fig. 7. Measurement system for laser echo intensity (1-Laser driver; 2-Detector drive; 3-Target to be tested; 4-Detectors; 5-Infrared laser emitter; 6-Turntable; 7-Oscilloscope)
Fig. 8. Experimental program
Fig. 9. Comparison between output values and actual values of different materials
Fig. 10. Inversion probabilities of SSA-GRNN and GRNN prediction models at different distances
| ||||||||||||||||
Table 1. Parameters of the target to be tested
| |||||||||||||||||||||||
Table 2. Evaluation of laser echo intensity model indicators
|
Table 3. Laser echo intensity data of unknown material surface
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 4. Inversion results of SSA-GRNN model for material 1
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20