Ground target detection, classification and sensor fusion in distributed fiber seismic sensor network - art. no. 683015

SEMI OpenIR > 中国科学院半导体研究所（2009年前）

	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
ISSN	0277-786X
ISBN	978-0-8194-7005-8
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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