多传感器数据融合技术在VTS中的应用研究

The application study of the multi-sensor data fusion technology in VTS

此文分析了多传感器数据融合技术在VTS中应用的必要性和可行性,提出了应用于VTS中的数据融合处理模型。在像素级融合,研究了坐标变换、位置坐标的插值计算、目标点迹的关联与合并等技术;在特征级融合,采用BP神经网络、D—S证据理论进行目标识别。

Analyses the necessity and the feasibility of that the multi-sensor data fusion technology was applied in VTS.Putting forward the data processing model. In the pixel level, the technology of the coordinate altemation, the inserting value calculation of position coordinate, the interrelation and incorporation of the target-track etc. are studied. At the characteristic level, and adopts the Back-propagation Neural Networks and the Dempster-Shafer evidence theory to carry on the target identification.