Multi-sensor information fusion on object-level using distance measure

doi:10.3778/j.issn.1002-8331.2010.18.040

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (18): 128-129.DOI: 10.3778/j.issn.1002-8331.2010.18.040

• 数据库、信号与信息处理 • Previous Articles Next Articles

Multi-sensor information fusion on object-level using distance measure

WAN Shu-ping

College of Information Technology，Jiangxi University of Finance and Economics，Nanchang 330013，China

Received:2009-07-30 Revised:2010-03-30 Online:2010-06-21 Published:2010-06-21
Contact: WAN Shu-ping

运用距离测度进行多传感器目标级信息融合

万树平

江西财经大学信息管理学院，南昌 330013

通讯作者: 万树平

Abstract

Abstract: Aimed at the problem of multi-sensor target recognition on object-level，a new information fusion method is proposed.The method defines the new distance measure.By solving the optimal programming of minimizing the total overall distance measure between the target types and the discriminated target，the weights of indexes are objectively derived.The method of target recognition is given according to the overall distance.The simulation experiment proves that the method is effective and very suitable for the field of multiple objects recognition with multiple characteristic indexes.

Key words: multi-sensor, data fusion, target recognition, distance measure

摘要： 针对多传感器目标级识别问题，提出了一种新的信息融合方法。定义了新的距离测度，通过求解各目标类别与待识别目标的综合距离测度之和最小的优化问题，客观地确定了指标的权重，根据综合距离给出目标识别方法。仿真实验验证了方法的有效性，非常适用于具有多个特征指标的多目标识别领域。

关键词: 多传感器, 数据融合, 目标识别, 距离测度

CLC Number:

TP274.2

WAN Shu-ping. Multi-sensor information fusion on object-level using distance measure[J]. Computer Engineering and Applications, 2010, 46(18): 128-129.

万树平. 运用距离测度进行多传感器目标级信息融合[J]. 计算机工程与应用, 2010, 46(18): 128-129.

[1]	LI Zhongdao, LIU Yuansheng, CHANG Feixiang, ZHANG Jun, LU Ming. Research on UWB and LiDAR Fusion Positioning Algorithm in Indoor Environment [J]. Computer Engineering and Applications, 2021, 57(6): 260-266.
[2]	ZHAO Yi, GAO Shuping, HE Di. Eye Movement and Tracking Data Fusion Algorithm Based on Deep Learning [J]. Computer Engineering and Applications, 2021, 57(10): 211-217.
[3]	FAN Jianping, CHENG Rui, WU Meiqin. Distance Measure of Interval-Valued Complex Fuzzy Soft Sets and Its Application [J]. Computer Engineering and Applications, 2020, 56(9): 248-259.
[4]	ZHANG Hong, CHENG Chuanqi, XU Zhigang, LI Jianhua. Survey of Data Fusion Based on Deep Learning [J]. Computer Engineering and Applications, 2020, 56(24): 1-11.
[5]	LI Tingting, WANG Xianghai. Research on Children’s Intelligence Development System Based on AR-VR Hybrid Technology [J]. Computer Engineering and Applications, 2020, 56(23): 259-264.
[6]	FAN Yuping, TANG Quanhua, HUANG Longjun. Dangerous Tree Detecting Based on Longitudinal Parallax [J]. Computer Engineering and Applications, 2020, 56(21): 242-247.
[7]	XU Xiaoli, LIU Congfeng, FAN Guangyu. Recognition of Two-Dimensional Coded Image Based on Multi-scale Feature Fusion [J]. Computer Engineering and Applications, 2020, 56(20): 165-172.
[8]	FU Zuoyi, ZHOU Shijie, LI Dinggen. Lightweight Target Recognition Deep Neural Network and Its Application [J]. Computer Engineering and Applications, 2020, 56(18): 131-136.
[9]	LIU Youyong, ZHANG Jiangmei, WANG Kunpeng, FENG Xinghua, YANG Xiuhong. Fast Underwater Target Recognition with Unbalanced Data Set [J]. Computer Engineering and Applications, 2020, 56(17): 236-242.
[10]	SU Mengke, KONG Xiangzhi. Application of Intuitionistic Dual Hesitant Fuzzy Sets in Multi-attribute Group Decision Making [J]. Computer Engineering and Applications, 2020, 56(17): 273-278.
[11]	HE Weijian, LU Jiangcheng, ZHU Yaolin, LI Xuecong. Elliptical Model Indoor Positioning Algorithm for RFID Rotating Antenna [J]. Computer Engineering and Applications, 2019, 55(9): 87-93.
[12]	CAO Wenwen1, KANG Bin2, YAN Jun1, DING Wan1. Sparse Representation Target Tracking via Multi-Source Data Fusion [J]. Computer Engineering and Applications, 2019, 55(6): 1-7.
[13]	WU Huihui1, GAO Shuping1, PENG Hongming2, ZHAO Yi1. Adaptive Fuzzy [C]-Means Clustering Data Fusion Algorithm [J]. Computer Engineering and Applications, 2019, 55(5): 26-35.
[14]	LIU Hongxing1，2, HU Guangdi1, ZHU Xiaoyuan1, LI Jinlong3. Vision Target Tracking Method of Intelligent Vehicle Based on Improved Covariance Matrices [J]. Computer Engineering and Applications, 2019, 55(3): 171-178.
[15]	SHI Leyi, LIU Jia, LIU Yihao, ZHU Hongqiang, DUAN Pengfei. Survey of Research on Network Security Situation Awareness [J]. Computer Engineering and Applications, 2019, 55(24): 1-9.

Multi-sensor information fusion on object-level using distance measure

运用距离测度进行多传感器目标级信息融合

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics