Ground target detection, classification and sensor fusion in distributed fiber seismic sensor network - art. no. 683015
Xing, HF; Li, F; Xiao, H; Wang, YJ; Liu, YH; Xing, HF, Chinese Acad Sci, Inst Semicond, Optoelect Syst Lab, POB 912, Beijing 100083, Peoples R China.
2008
会议名称Conference on Advanced Sensor Systems and Applications III
会议录名称ADVANCED SENSOR SYSTEMS AND APPLICATIONS III
页码6830: 83015-83015
会议日期NOV 12-14, 2007
会议地点Beijing, PEOPLES R CHINA
出版地1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
出版者SPIE-INT SOC OPTICAL ENGINEERING
ISSN0277-786X
ISBN978-0-8194-7005-8
部门归属[xing, huaifei; li, fang; xiao, hao; wang, yongjie; liu, yuhang] chinese acad sci, inst semicond, optoelect syst lab, beijing 100083, peoples r china
摘要This paper describes the ground target detection, classification and sensor fusion problems in distributed fiber seismic sensor network. Compared with conventional piezoelectric seismic sensor used in UGS, fiber optic sensor has advantages of high sensitivity and resistance to electromagnetic disturbance. We have developed a fiber seismic sensor network for target detection and classification. However, ground target recognition based on seismic sensor is a very challenging problem because of the non-stationary characteristic of seismic signal and complicated real life application environment. To solve these difficulties, we study robust feature extraction and classification algorithms adapted to fiber sensor network. An united multi-feature (UMF) method is used. An adaptive threshold detection algorithm is proposed to minimize the false alarm rate. Three kinds of targets comprise personnel, wheeled vehicle and tracked vehicle are concerned in the system. The classification simulation result shows that the SVM classifier outperforms the GMM and BPNN. The sensor fusion method based on D-S evidence theory is discussed to fully utilize information of fiber sensor array and improve overall performance of the system. A field experiment is organized to test the performance of fiber sensor network and gather real signal of targets for classification testing.
关键词Ugs Target Detection Fiber Seismic Sensor Network Sensor Fusion Target Classification
学科领域光电子学
主办者SPIE.; Chinese Opt Soc.
收录类别CPCI-S
语种英语
文献类型会议论文
条目标识符http://ir.semi.ac.cn/handle/172111/7844
专题中国科学院半导体研究所(2009年前)
通讯作者Xing, HF, Chinese Acad Sci, Inst Semicond, Optoelect Syst Lab, POB 912, Beijing 100083, Peoples R China.
推荐引用方式
GB/T 7714
Xing, HF,Li, F,Xiao, H,et al. Ground target detection, classification and sensor fusion in distributed fiber seismic sensor network - art. no. 683015[C]. 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA:SPIE-INT SOC OPTICAL ENGINEERING,2008:6830: 83015-83015.
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