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论文:2012,Vol:30,Issue(3):361-366 |
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引用本文： |
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曲圣杰, 潘泉, 程咏梅, 赵春晖. 基于PCR-DSmT的序列帧融合景像匹配算法[J]. 西北工业大学 |
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Qu Shengjie, Pan Quan, Cheng Yongmei, Zhao Chunhui. A Novel and Effective Scene Matching Algorithm for INS/SMNS Integrated Navigation of UAV[J]. Northwestern polytechnical university |
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| 基于PCR-DSmT的序列帧融合景像匹配算法 |
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| 曲圣杰, 潘泉, 程咏梅, 赵春晖 |
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| 西北工业大学 自动化学院,陕西 西安 710072 |
| 摘要: |
| 针对INS/SMNS组合导航系统中,单帧景像匹配难以判断匹配结果是否正确并给出准确的匹配置信度的情况,提出一种基于PCR-DSmT的序列帧融合景像匹配算法。算法分为单帧粗匹配和序列帧融合精匹配两步:首先提取图像的相位一致性特征并采用快速归一化互相关算法初步匹配;然后建立序列帧时空约束关系,利用相关阵中极大峰构建辨识框架,采用层次分析法自适应计算置信指派并利用适配因子进行折扣运算,最后采用证据推理组合规则融合并根据判决准则输出匹配位置及置信度或对错误匹配结果报警。针对Dempster组合规则在高冲突序列帧融合时出现错误以及DSmT组合规则在多证据融合时正确位置置信指派难以增大并收敛的问题,提出一种PCR-DSmT组合规则。采用真实航拍图像和对应的Google earth卫星基准图像的仿真实验验证了匹配算法的有效性。 |
| 关键词:
景像匹配
惯导/景像匹配组合导航
证据推理
置信度评估
相位一致性
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| A Novel and Effective Scene Matching Algorithm for INS/SMNS Integrated Navigation of UAV |
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| Qu Shengjie, Pan Quan, Cheng Yongmei, Zhao Chunhui |
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| Department of Automatic Control,Northwestern Polytechnical University,Xi'an 710072,China |
| Abstract: |
| A novel scene matching algorithm based on sequential frames fused by PCR-DSmT is put forward forINS/SMNS integrated navigation system of UAV (unmanned aerial vehicle),where PCR stands for ProportionalConflict Redistribution,DSmT stands for Dezert-Smarandache Theory,INS stands for Inertial Navigation System,and SMNS stands for Scene Matching Navigation System. Section 1 of the full paper explains this algorithm,whichwe believe is novel and effective. The core of section 1 consists of: "Single frame course matching and sequentialframe precise matching are involved in this algorithm. Phase congruency image is extracted and fast NCC (Normal-ized Cross Correlation) matching is processed in the first step,and then spatial-temporal correlation of sequentialframes is founded and identification framework is constructed with the maximal peaks of the matching correlationmatrix. Then the basic belief assignment of the peaks is calculated self-adaptively and discounted by suitable-matc-hing factors. A PCR-DSmT combination rule is proposed to fuse the data of sequential frames because of the illogi-cal fusion of Dempster rule and DSmT. At last matching confidence or error alarm is outputted according to the de-cision criterion. "Simulation results, presented in Tables 1 through 4, and their analysis show preliminarily that ournovel algorithm is indeed feasible and effective. |
| Key words:
algorithms
decision making
efficiency
identification (control systems)
image matching
imageprocessing
inertial navigation systems
information fusion
optical correlation pixels
unmanned aeri-al vehicles (UAV) ;confidence evaluation
evidence theory
flowcharting
INS/SMNS integratednavigation
phase congruency
scene matching
simulation
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| 收稿日期: 2011-06-08
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(61075029、61074155)；航空科学基金(20100853010、20090853013)资助 |
| 通讯作者:
Email： |
| 作者简介: 曲圣杰(1982-),西北工业大学博士研究生,主要从事景像匹配辅助导航、信息融合的研究。
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参考文献: |
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[1] Gao Shesheng，Zhong Yongmin，Zhang Xueyuan，et al.Multi-Sensor Optimal Data Fusion for INS/GPS/SAR Integrated Naviga-tion System.Aerospace Science and Technology，2009，13(4-5): 232-237
[2] Conte G，Doherty P.An Integrated UAV Navigation System Based on Aerial Image Matching.Proceedings of the IEEE Aero-space Conference，2008: 1-10
[3] 冷雪飞，刘建业，熊 智.基于分支特征点的导航用实时图像匹配算法.自动化学报，2007，33(7): 678-682Leng Xuefei，Liu Jianye，Xiong Zhi.A Real-Time Image Matching Algorithm for Navigation System Based on Bifurcation Ex-traction.Actc Automatica Sinica，2007，33(7): 678-682 (in Chinese)
[4] 张绍明，陈 鹰，林 怡.SAR 图像与光学图像多子区鲁棒匹配算法.同济大学学报(自然科学版)，2009，37(1):121-125Zhang Shaoming，Chen Ying，Lin Yi.Robust Algorithm of Matching SAR Image to Optical Image Using Multiple Subarea.Jour-nal of Tongji University (Natural Science)，2009，37(1): 121-125 (in Chinese)
[5] Kovesi P.Image Features From Phase Congruency.Videre: A Journal of Computer Vision Research.1999，1(3): 1-26
[6] Dezert J，Smarandache F.On the Generation of Hyper-Powersets for the DSmT.Proc of Fusion2003 Conf，Cairns，Australia，2003，8-11 |
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