Analysis in the joint time-frequency domain of signatures extracted from targets buried underground

被引:7
|
作者
Strifors, HC [1 ]
Brusmark, B [1 ]
Gustafsson, A [1 ]
Gaunaurd, GC [1 ]
机构
[1] NATL DEF RES ESTAB,S-17290 STOCKHOLM,SWEDEN
来源
关键词
EM scattering; time-frequency distributions; detection; classification; mine countermeasure;
D O I
10.1117/12.241142
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
引用
收藏
页码:152 / 163
页数:12
相关论文
共 50 条
  • [31] A Joint Time-Frequency Domain Transformer for multivariate time series forecasting
    Chen, Yushu
    Liu, Shengzhuo
    Yang, Jinzhe
    Jing, Hao
    Zhao, Wenlai
    Yang, Guangwen
    NEURAL NETWORKS, 2024, 176
  • [32] TIME-FREQUENCY ANALYSIS OF BACKSCATTERED SIGNALS FROM DIFFUSE RADAR TARGETS
    KENNY, OP
    BOASHASH, B
    IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1993, 140 (03) : 198 - 208
  • [33] Joint time-frequency analysis of electrochemical noise
    Darowicki, K
    Zielinski, A
    JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2001, 504 (02): : 201 - 207
  • [34] JOINT TIME-FREQUENCY AND WAVELET ANALYSIS - AN INTRODUCTION
    Majkowski, Andrzej
    Kolodziej, Marcin
    Rak, Remigiusz J.
    METROLOGY AND MEASUREMENT SYSTEMS, 2014, 21 (04) : 741 - 758
  • [35] DOPPLER RADAR SIGNATURES ANALYSIS BY USING JOINT BISPECTRUM-BASED TIME-FREQUENCY DISTRIBUTIONS
    Astola, Jaakko T.
    Egiazarian, Karen O.
    Molchanov, Pavel A.
    Totsky, Alexander V.
    LNLA: 2009 INTERNATIONAL WORKSHOP ON LOCAL AND NON-LOCAL APPROXIMATION IN IMAGE PROCESSING, 2009, : 137 - +
  • [36] Joint time-frequency analysis of synchronized chaos
    Lih, JS
    Chern, JL
    Otsuka, K
    EUROPHYSICS LETTERS, 2002, 57 (06): : 810 - 816
  • [38] Joint time-frequency analysis of SAR data
    Fiedler, R
    Jansen, R
    PROCEEDINGS OF THE TENTH IEEE WORKSHOP ON STATISTICAL SIGNAL AND ARRAY PROCESSING, 2000, : 480 - 484
  • [39] Joint time-frequency analysis of SAR data
    Fiedler, Ralph
    Jansen, Robert
    1600, IEEE, Los Alamitos, CA, United States
  • [40] Machine learning analysis of features extracted from time-frequency domain of ultrasonic testing results for wood material assessment
    Mousavi, Mohsen
    Gandomi, Amir H.
    Holloway, Damien
    Berry, Adam
    Chen, Fang
    CONSTRUCTION AND BUILDING MATERIALS, 2022, 342