A comparison of methods for 3D target localization from seismic and acoustic signatures

被引:2
|
作者
Elbring, GJ [1 ]
Garbin, HD [1 ]
Ladd, MD [1 ]
机构
[1] Sandia Natl Labs, Albuquerque, NM 87185 USA
关键词
target localization; unattended ground sensors; seismic analysis;
D O I
10.1117/12.392578
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
An important application of seismic and acoustic unattended ground sensors (UGS) is the estimation of the three dimensional position of an emitting target. Seismic and acoustic data derived from UGS systems provide the raw information to determine these locations, but can be processed and analyzed in a number of ways using varying amounts of auxiliary information. Processing methods to improve arrival time picking for continuous wave sources and methods for determining and defining the seismic velocity model are the primary variables affecting the localization accuracy. Results using field data collected from an underground facility have shown that using an iterative time picking technique significantly improves the accuracy of the resulting derived target location. Other processing techniques show little advantage over simple crosscorrelation alone in terms of accuracy, but may improve the ease with which time picks can be made. An average velocity model found through passive listening or a velocity model determined from a calibration source near the target source both result in similar location accuracies. Surprisingly, the use of average station corrections severely increases the location error.
引用
收藏
页码:154 / 164
页数:11
相关论文
共 50 条
  • [1] Comparison of 6D and 3D registration algorithms for target localization
    Djemil, T
    Rybak, M
    Reddy, C
    Mahadevan, A
    Weinhous, M
    Macklis, R
    Suh, J
    RADIOTHERAPY AND ONCOLOGY, 2005, 76 : S161 - S161
  • [2] Comparison of Methods for Tool Localization in Biological Tissue from 3D Ultrasound Data
    Barva, Martin
    Kybic, Jan
    Hlavac, Vaclav
    Liebgott, Herve
    Cachard, Christian
    2006 IEEE ULTRASONICS SYMPOSIUM, VOLS 1-5, PROCEEDINGS, 2006, : 1983 - +
  • [3] An Algorithm for 3D Target Localization from Passive Radar Measurements
    Malanowski, Mateusz
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2009, 2009, 7502
  • [4] Comparison of Different Egocentric Pointing Methods for 3D Sound Localization Experiments
    Bahu, Helene
    Carpentier, Thibaut
    Noisternig, Markus
    Warusfel, Olivier
    ACTA ACUSTICA UNITED WITH ACUSTICA, 2016, 102 (01) : 107 - 118
  • [5] Comparison of localization methods for 3D Super-Resolution Ultrasound Imaging
    Wang, Bingxue
    Yan, Jipeng
    Riemer, Kai
    Toulemonde, Matthieu
    Hansen-Shearer, Joseph
    Tang, Meng-Xing
    2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS), 2022,
  • [6] Microscopic and Macroscopic Signatures of 3D Anderson Localization of Light
    Cottier, Florent
    Cipris, Ana
    Bachelard, Romain
    Kaiser, Robin
    PHYSICAL REVIEW LETTERS, 2019, 123 (08)
  • [7] Comparison of the 2D/3D Acoustic Full-waveform Inversions of 3D Ocean-bottom Seismic Data
    Noh, Hee-Chan
    Park, Sea-Eun
    Ji, Hyeong-Geun
    Kim, Seok-Han
    Li, Xiangyue
    Oh, Ju-Won
    GEOPHYSICS AND GEOPHYSICAL EXPLORATION, 2022, 25 (04): : 203 - 213
  • [8] Distributed acoustic sensing for 2D and 3D acoustic source localization
    Liang Jiajing
    Wang Zhaoyong
    Lu Bin
    Wang Xiao
    Li Luchuan
    Ye Qing
    Qu Ronghui
    Cai Haiwen
    OPTICS LETTERS, 2019, 44 (07) : 1690 - 1693
  • [9] Deep Learning for 3D Source Localization from Acoustic Emission Signals
    Lim, Soyoung
    Seo, Hogeon
    Lee, Hang-Lo
    Kim, Jin-Seop
    JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, 2022, 42 (01) : 34 - 42
  • [10] 3D Target Localization Based on FrFT from Spaceborne Curve SAR
    Nie Z.
    Chen Z.
    Li Y.
    Hu C.
    Journal of Beijing Institute of Technology (English Edition), 2023, 32 (06): : 717 - 718