Title :
Segmentation of GPR Images
Author :
Verdenskaya, N.V. ; Sazonov, V.V. ; Ivanova, L.A. ; Yarovoy, A.G. ; Ligthart, L.P.
Author_Institution :
Mints Radiotech. Inst., Moscow Inst. of Phys. and Technol.
Abstract :
In this paper the threshold segmentation rules for GPR data are considered. Bayesian and conditional extremum approaches are used for choosing the threshold. The suggested approaches are compared using both model and real GPR data. The results of the image segmentation are given
Keywords :
Bayes methods; ground penetrating radar; image segmentation; radar imaging; Bayesian approach; GPR image segmentation; conditional extremum approach; ground penetrating radar; Area measurement; Bayesian methods; Data processing; Ground penetrating radar; Image segmentation; Object detection; Partitioning algorithms; Physics; Radar imaging; Testing; Bayes procedures; estimation; image segmentation; radar data processing; radar imaging;
Conference_Titel :
Radar Conference, 2006. EuRAD 2006. 3rd European
Conference_Location :
Manchester
Print_ISBN :
2-9600551-7-9
DOI :
10.1109/EURAD.2006.280269
