Multisensor fusion in the frame of evidence theory for landmines detection
Multisensor fusion in the frame of evidence theory for landmines detection
复制标题
地雷探测证据理论框架下的多传感器融合
DOI：
10.1109/tsmcc.2004.829266
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
A. Bibaut
中科院分区：
文献类型：
--
作者：
S. Perrin;E. Duflos;P. Vanheeghe;A. Bibaut
在人道主义杀伤人员地雷探测框架下，提出了一种基于Dempster-Shafer证据理论的多传感器融合方法。多传感器系统包括两个传感器-探地雷达（GPR）和金属探测器（MD）。针对每个传感器，提出了一种新的特征提取方法。探地雷达的方法主要是基于小波和轮廓提取。第一个有限的数据集上的模拟表明，作为一个独立的传感器的探地雷达的检测和误报警拒绝的改进，可以获得。MD特征提取方法主要基于轮廓提取。所有这些功能，然后融合与探地雷达在某些特定的情况下，以确定一个新的功能。从这些结果，信任函数，定义在证据理论，然后确定和组合由于正交和。第一个结果的检测和误报率方面提出了一个有限的一组真实的数据和两种情况之间的比较：有或没有多传感器融合。
In the frame of humanitarian antipersonnel mines detection, a multisensor fusion method using the Dempster-Shafer evidence theory is presented. The multisensor system consists of two sensors-a ground penetrating radar (GPR) and a metal detector (MD). For each sensor, a new features extraction method is presented. The method for the GPR is mainly based on wavelets and contours extraction. First simulations on a limited set of data show that an improvement in detection and false alarms rejection, for the GPR as a standalone sensor, could be obtained. The MD features extraction method is mainly based on contours extraction. All of these features are then fused with the GPR ones in some specific cases in order to determine a new feature. From these results, belief functions, as defined in the evidence theory, are then determined and combined thanks to the orthogonal sum. First results in terms of detection and false alarm rates are presented for a limited set of real data and a comparison is made between the two cases: with or without multisensor fusion.