Time-Space Data Fusion and Object Recognition Based on Matrix Analysis and Dempster-Shafer Evidence Theory

In this paper the authors introduce a method of time-space data fusion based on matrix analysis and (Dempster)-Shafer evidence theory. The method is applied to multi-sensor data fusion for plane (character) recognition. Experimental results show that the D-S data fusion method is better and more (effective) than that of a single sensor.