Segmentation of GPR Images

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

[1]  Joel M. Hektner,et al.  Theoretical Foundations of ESM , 2007 .

[2]  L. P. Ligthart,et al.  Ultra-wideband 3D image processing for improving landmine detection with GPR , 2005 .

[3]  L.P. Ligthart,et al.  Joint IRCTR/TNO-DS&S measurement campaign for AP-mine detection with VIR GPR , 2005, Proceedings of the 3rd International Workshop on Advanced Ground Penetrating Radar, 2005. IWAGPR 2005..