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A time frequency domain feature extraction algorithm for landmine identification from GPR data

  • Published:2008-09-01 Issue:6 Volume:6 Page:411-421
  • ISSN:1569-4445
  • Container-title:Near Surface Geophysics
  • language:en
  • Short-container-title:Near Surface Geophysics

Author:

Lopera Olga123,Milisavljević Nada1,Daniels David4,Gauthier Alain2,Macq Benoît3

Affiliation:

1. Signal and Image Centre; Royal Military Academy; Av. de la Renaissance 30 1000 Brussels Belgium

2. Department of Electrical and Electronic Engineering; University of Los Andes; Kr 1 19A-40 P7 Bogota Colombia

3. Telecommunications Laboratory; Catholic University of Louvain; Place du Levant 2 1348 Louvain-la-Neuve Belgium

4. ERA Technology Ltd; Cleeve Road Leatherhead UK

Publisher

Wiley

Subject

Geophysics

Reference31 articles.

1. Detection of shallowly buried objects using impulse radar.;Brunzell;IEEE Transactions on Geoscience and Remote Sensing,1999

2. Ground penetrating radar and imaging metal detector for antipersonnel mine detection.;Bruschini;Journal of Applied Geophysics,1998

3. Buried unexploded ordonance identification via complex natural resonances.;Chen;IEEE Transactions on Antennas and Propagation,1997

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of Intelligence Software for GPR Investigation of Buried Object;2024 IEEE Space, Aerospace and Defence Conference (SPACE);2024-07-22

2. Classification of Targets Using Time-Frequency Analysis of GPR Data;2023 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON);2023-12-11

3. Realistic simulation of GPR for landmine and IED detection including antenna models, soil dispersion and heterogeneity;Near Surface Geophysics;2023-11-22

4. Robust landmine detection from thermal image time series using Hough transform and rotationally invariant features;International Journal of Remote Sensing;2019-07-26

5. Buried and Surface Mine Detection From Thermal Image Time Series;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2017-10
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