A comparison of segmentation techniques for target extraction in ground penetrating radar data

Proceedings of the 2nd International Workshop on Advanced Ground Penetrating Radar

Volumn , Issue , 2003, Pages 95-100

  Shihab, S ^a   Al Nuaimy, W ^a   Huang, Y ^a   Eriksen, A ^b  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b Zetica   (United Kingdom)

Author keywords

Bridges; Computer networks; Data mining; Displays; Ground penetrating radar; Human factors; Neural networks; Radar detection; Reflection; Robustness

Indexed keywords

BRIDGES; COMPUTER NETWORKS; DATA MINING; DISPLAY DEVICES; GEOLOGICAL SURVEYS; HUMAN ENGINEERING; NEURAL NETWORKS; RADAR; RADAR REFLECTION; REFLECTION; ROBUSTNESS (CONTROL SYSTEMS); TRACKING RADAR;

AUTOMATIC TECHNIQUE; DATA SEGMENTATION; GROUND PENETRATING RADAR; NEURAL CLASSIFIERS; POST-PROCESSING STAGES; RADAR DETECTION; SEGMENTATION TECHNIQUES; STATISTICAL FEATURES;

GROUND PENETRATING RADAR SYSTEMS;

EID: 67651157007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AGPR.2003.1207299     Document Type: Conference Paper

References (5)

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2. W. Al-Nuaimy and Y. Huang and S. Shihab and A. Eriksen,Unsupervised Segmentation of Subsurface Radar Images, in Ninth International Conference on Ground Penetrating Radar, Steven K. Koppenjan and Hua Lee, Editors, Proceedings of SPIE, vol. 4758, pp 635-638, 2002.
3. W. Al-Nuaimy, Automatic Detection of Subsurface Features in Ground-Penetrating Radar Data, PhD thesis, University of Liverpool, 1999.
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