Ground target detection, classification and sensor fusion in distributed fiber seismic sensor network - art. no. 683015
文献类型：会议论文
| 作者 | Xing, HF ; Li, F ; Xiao, H ; Wang, YJ ; Liu, YH |
| 出版日期 | 2008 |
| 会议名称 | conference on advanced sensor systems and applications iii |
| 会议日期 | nov 12-14, 2007 |
| 会议地点 | beijing, peoples r china |
| 关键词 | UGS target detection fiber seismic sensor network sensor fusion target classification |
| 页码 | 6830: 83015-83015 |
| 通讯作者 | xing, hf, chinese acad sci, inst semicond, optoelect syst lab, pob 912, beijing 100083, peoples r china. |
| 中文摘要 | 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. |
| 英文摘要 | 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.; zhangdi于2010-03-09批量导入; made available in dspace on 2010-03-09t02:11:57z (gmt). no. of bitstreams: 1 702.pdf: 257858 bytes, checksum: 1c9a8ddb2f527f27cc9085f4044226c7 (md5) previous issue date: 2008; spie.; chinese opt soc.; [xing, huaifei; li, fang; xiao, hao; wang, yongjie; liu, yuhang] chinese acad sci, inst semicond, optoelect syst lab, beijing 100083, peoples r china |
| 收录类别 | CPCI-S |
| 会议主办者 | spie.; chinese opt soc. |
| 会议录 | advanced sensor systems and applications iii
 |
| 会议录出版者 | spie-int soc optical engineering ; 1000 20th st, po box 10, bellingham, wa 98227-0010 usa |
| 学科主题 | 光电子学 |
| 会议录出版地 | 1000 20th st, po box 10, bellingham, wa 98227-0010 usa |
| 语种 | 英语 |
| ISSN号 | 0277-786x |
| ISBN号 | 978-0-8194-7005-8 |
| 源URL | [http://ir.semi.ac.cn/handle/172111/7844]  |
| 专题 | 半导体研究所_中国科学院半导体研究所（2009年前） |
| 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]. 见:conference on advanced sensor systems and applications iii. beijing, peoples r china. nov 12-14, 2007. |
入库方式： OAI收割
来源：半导体研究所
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