一种基于多类别传感器的目标识别方法及装置
By constructing a sensor recognition confusion matrix and a preference relation matrix, and combining D-number theory and analytic hierarchy process to calculate the comprehensive weight of sensors, the problem of single sensor recognition deviating from the actual results is solved, and the recognition accuracy of multi-sensor systems is improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINESE AERONAUTICAL RADIO ELECTRONICS RES INST
- Filing Date
- 2023-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, relying on a single sensor for target recognition is prone to deviating from the actual results, and the differences in recognition performance of different sensors under different environments and target types lead to inaccurate fusion recognition results.
By constructing a sensor identification confusion matrix and a preference relation matrix, the comprehensive weights of sensors are calculated using D-number theory and the analytic hierarchy process (D-AHP). Combined with expert experience, complementary vectors oriented towards the external environment and target type are generated to determine the comprehensive weights of multiple sensor categories.
It improves the accuracy of multi-sensor target recognition, reduces the negative impact of sensors with poor recognition capabilities on the fusion recognition results, and improves the recognition accuracy of the system.
Smart Images
Figure CN116561621B_ABST