一种防爆巡检无人机多模态图像融合方法、设备及介质
By acquiring multi-source environmental parameters and multimodal image data, calculating environmental degradation scores and image quality scores, and identifying dominant environmental parameters for compensation and enhancement, the problem of image degradation in UAV inspection is solved, achieving highly accurate and reliable image fusion and supporting the automated application of explosion-proof inspection UAVs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIHUA LAB
- Filing Date
- 2026-06-22
- Publication Date
- 2026-07-17
AI Technical Summary
Existing UAV inspection multimodal image fusion technology is unstable in complex industrial environments, with a high risk of missed detections and false alarms. It cannot effectively cope with image degradation caused by various environmental factors, which limits its large-scale automated application.
By acquiring multi-source environmental parameters and multimodal image data of the inspection environment, calculating environmental degradation scores and image quality scores, identifying dominant environmental parameters and performing targeted compensation and enhancement, and combining fusion weights to perform image fusion, real-time, quantitative perception and root cause compensation of image degradation can be achieved.
It significantly improves the accuracy and reliability of inspection images, effectively identifies the causes of image degradation in complex industrial environments and performs targeted compensation, thereby enhancing the automated application capabilities of explosion-proof inspection drones.
Smart Images
Figure CN122415358A_ABST