Multisensor information is fused in temporal field by combing dempster - shafer theory and neural networks in order to conduct recognition and classification tasks 将dempster - shafer理论与神经网络相结合,在时间域对多传感器的多次测量进行融合,以进行识别分类。
In this paper , we summarize the navigation technology of autonomous mobile robot and analyze the technology of localization , path planning and multisensor fusion 本文综述了自主式移动机器人的导航技术,对其中的定位、路径规划及多传感器信息融合等技术进行了较详细的分析。
With the use of multisensor ( multiple images ) , the fused image contains a more complete and accurate description of the scene than any of the individual source images 由于利用了来自多传感器的多源图像,所以,融合后图像对场景的描述比任何单一源图像都更全面、更精确。
Different remote sensing images have different information , and the combination of multisensor images ( fusion ) can get more complete and reliable information 不同传感器所获得的遥感图像包含的信息不同,为了得到更加全面、可靠的信息,需要对多传感器图像进行综合处理(融合) 。
Abstract : the multisensor data fusion technology was described includingits principle and method . and the algorithm for the application of the technology to nondestructive testing was given 文摘:概述多传感器信息融合技术的原理与方法,着重介绍将该技术应用于无损检测时的具体算法。
Multisensor - multitarget tracking and data associationarethe kernel content of multisensor - multitarget data fusion , which includes two parts : target tracking and data association 多传感器多目标跟踪与数据关联是多传感器信息融合理论研究的核心内容,主要包含了数据关联和目标跟踪两部分内容。
In chapter 4 , pyramid - structured discrete wavelet frame transform , discrete wavelet frame packet transform , tree - structured discrete wavelet frame transform are used to multisensor image fusion 论文在第四章提出了基于小波帧变换及其变种小波帧包变换和树状小波帧变换的多传感器图象融合方法。
By applying multisensor data fusion and data mining to intrusion detection , didm provides the comprehensive assessment of network attack and defense situations continuously and globally 将多传感器数据触合与数据挖掘技术应用到分布式入侵检测中,可连续和全面地提供网络攻防战场环境态势的综合评估。