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景像匹配定位中的图像边缘检测算法研究
引用本文:黄锡山,陈哲.景像匹配定位中的图像边缘检测算法研究[J].中国惯性技术学报,2001,9(1):24-30.
作者姓名:黄锡山  陈哲
作者单位:北京航空航天大学自动化科学与电气工程学院,北京 100083
基金项目:航空科学基金资助项目(99E51018)
摘    要:研究了目前流行的14种经典与现代边缘检测算法,对这些算法在景像匹配定侠中的应用进行了仿真,根据战术飞机及巡航导弹的实战需求,提出了边缘检测算法的各项技术指标,进而探讨了这些算法在景像匹配定位中的可应用性及发展方向。仿真结果表明:小波算法是这些算法中定位精度最高,匹配概率最高的算法,实时性也较好,模糊算法与神经网络算法因其优良性能,也应给以充分重视。

关 键 词:边缘检测  景像匹配定位  算法  导航/制导系统
文章编号:1005-6734(2001)01-0024-07
修稿时间:2000年12月5日

Evaluation of Image Edge Detection Algorithms in Scene Match Positioning
HUANG Xishan,CHEN Zhe.Evaluation of Image Edge Detection Algorithms in Scene Match Positioning[J].Journal of Chinese Inertial Technology,2001,9(1):24-30.
Authors:HUANG Xishan  CHEN Zhe
Abstract:Fourteen kinds of representative edge detection algorithms including classical and modern ones are studied,and the applications of these algorithms in scene match positioning are simulated.According to the actual combat requirements of tactical aircraft and cruise missile,some performances of these algorithms are presented,and the applicabilities and prospects of these algorithms in scene match positioning are explored.It has been shown by the simulation results that wavelets algorithm is the best one in positioning precision and matching probability,and its realtime ability is also good.Fuzzy and neural network algorithms should also be paid attention to due to their excellent performances.
Keywords:edge detection  scene match positioning  algorithms
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