Supervisor:
Southwest Ordnance Industry Bureau
Organizer:
Chongqing Ordnance Industry Society
Chongqing University of Technology
Chongqing University of Technology
Research on surface unexploded submunition detection method based on SIFT and INIR
| DOI: | 10.11809/bqzbgcxb2024.05.041 |
| Keywords: | SIFT algorithm; image neighborhood information reconstruction; heterogeneous images; unexploded submunitions |
| Abstract: | The visible light homologous image registration detection method based on SIFT (scale invariant feature transform) algorithm is used to solve the problem of surface unexploded submunition detection. The feasibility of the method is verified by experiments, but the problem of false alarm and misjudgment is also found. On the basis of homologous image registration detection, a visible-infrared heterogeneous image difference detection method based on SIFT and INIR (image neighborhood information reconstruction) is proposed, which effectively solves the problem of misjudgment. The comparison test shows that the detection accuracy of the heterogeneous image difference detection method is greatly improved compared with the homologous image registration detection, but it also leads to a significant reduction in the single working time of the UAV borne platform, which provides a strong technical support for the accurate identification and location of the unexploded submunition targets on the ground in the next step. |
| Published: | 2024-05-31 |