Detection of linear objects in GPR data

Signal Processing

Volumn 84, Issue 4, 2004, Pages 785-799

  Dell'Acqua, Andrea ^a   Sarti, Augusto ^a   Tubaro, Stefano ^a   Zanzi, Luigi ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

Hough transform; Line detection; Radon transform

Indexed keywords

ALGORITHMS; GROUND PENETRATING RADAR SYSTEMS; HOUGH TRANSFORMS; ITERATIVE METHODS; RADON; ROBUSTNESS (CONTROL SYSTEMS);

LINE DETECTION; RADON TRANSFORM;

OBJECT RECOGNITION;

EID: 1442334645     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2003.12.010     Document Type: Article

References (28)

1. A.S. Aguado, M.S. Nixon, A new hough transform mapping for ellipse detection, Technical Report, Research Journal 1995/96, Department of Electronics and Computer Science, University of Southamtpon.
2. W. Al-Nuaimy, H. Lu, S. Shihab, Automatic 3-dimensional mapping of features using GPR, Ninth International Conference on G.P.R. S.Barbara, CA, May 2002.
3. Atiquzzaman M. Multiresolution hough transform - an efficient method of detecting patterns in images. IEEE Trans. Pattern Anal. Mach. Intel. 14(11):1992;1090-1095.
4. Ballard D.H. Generalizing the hough transform to detect arbitrary shapes. Pattern Recognition. 13(2):1981;111-122.
5. Deans S.R. Hough Transform from the Radon Transform. IEEE Trans. Pattern and Mach. Intell. 3(2):1981;185-188.
6. S. Delbò, P. Gamba, D. Roccato, A fuzzy approach to recognize hyperbolic signatures in subsurface radar images, IEEE Trans. Geosci. Remote Sensing, accepted, 2000 (also published as Internal Report n. 29/99).
7. S. Delbò, P. Gamba, D. Roccato, A fuzzy approach to recognize hyperbolic signatures in subsurface radar images, IEEE Trans. Geosci. Remote Sensing, accepted, 2000 (also published as Internal Report n. 29/99).
8. C. Espinosa, M.A. Perkowski, Hierarchical Hough transform based on pyramidal architecture, Northcon, Portland, 1-3 October 1991, pp. 291-296.
9. P.F. Fung, W.S. Lee, I. King, Randomized generalized hough transform for 2-D grayscale object detection, Thirteenth International Conference on Pattern Recognition (ICPR), Vol. 3, Vienna, 1996, pp. 511-515.
10. Gamba P., Lossani S. Neural detection of pipe signatures in Ground Penetrating Radar data. IEEE Trans. Geosci. Remote Sensing. 38(2):March 2000;790-797.
11. D.D. Haule, A.S. Malowany, Object recognition using fast adaptative Hough transform, IEEE Pacific Rim. Conference on Comm., Comp. and Signal Proc., June 1-2, 1989, pp. 91-94.
12. V.E. Henson, M.A. Limber, S.F. McCormick, B.T. Robinson, Spotlight computed tomography with natural pixels, Fifth SIAM Conference on Applied Linear Algebra, 1994, pp. 97-101.
13. Illingworth J., Kittler J. The adaptive hough transform. Trans. Pattern and Mach. Intell. 9:1987;690-698.
14. V. Jean, Fast Linear Hough Transform, International Conference on Application-Specific Array Processors, IEEE Computer Society Press, MD, 1994, pp. 1-9.
15. A.C. Kak, M. Slaney, Principles of computerized tomographic imaging, IEEE Press, New York, 1988.
16. Krishnapuram R., Casasent D. Determination of three-dimensional object location and orientation from range images. IEEE Trans. Pattern and Mach. Intell. 11(11):1989;1158-1167.
17. K.M. Lee, W.N. Street, A fast and robust approach for automated segmentation of breast cancer nuclei IASTED International Conference on Computer Graphics and Imaging (CGIM), Palm Springs, CA, USA, October 25-27, 1999, pp. 42-47.
18. McLaughlin R.A. Randomized Hough transform. improved ellipse detection with comparison Pattern Recognition Lett. 19(3-4):1998;299-305.
19. A. Mukherjee, S.K. Parui, B.B. Chaudhuri, R. Krishnan, K.K. Rao, Detection of linear features in satellite imagery using robust estimation, ICPR (A), Jerusalem, 1994, pp. 514-516.
20. Murhy L. Linear feature detection and enhancement in noisy images via the Radon transform. Pattern Recognition Letters. 4(4):1986;279-284.
21. Pratt W.K. Digital Image Processing. 3rd Edition:2001;Wiley-Interscience, New York.
22. Sarti A., Tubaro S. Detection and characterization of planar fractures using a 3d hough transform. EURASIP Signal Processing. 82(9):2002;1269-1282.
23. Scheck F. Mechanics. 1990;Springer, Berlin.
24. R.E. Sheriff, Encyclopedic dictionary of exploration geophysics, Society of Exploration Geophysicists, 1991.
25. Shapiro V.A. On the Hough transform of multilevel pictures. Pattern Recognition. 29(4):1996;589-602.
26. Sobrevilla P., Montseny E., Keller J. Road and Pipe Detection in LADAR Intensity Images through Fuzzy Techniques. July 2001;IFSA/NAFIPS, Vancouver, Canada.
27. P. Toft, The radon transform - theory and implementation, Ph.D. Thesis, Deparment of Mathematical Modelling, Section for DSP, Technical University of Denmark, June 1996.
28. H.S. Youn, C.C. Chen, Automatic GPR target detection and clutter reduction using neural network, Ninth International Conference on G.P.R., S. Barbara, CA, May 2002.