Ultra-wideband 3D image processing for improving landmine detection with GPR

• Autorzy: Ligthart E. E. , Yarovoy A. G. , Roth F. , Ligthart L. P.
• Języki publikacji: EN

Abstrakty

EN

This paper describes a new landmine detection algorithm starting from high resolution 3D ground penetrating radar (GPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3D GPR images. The algorithm has been tested on data measured with an ultrawideband (UWB) video impulse radar (VIR) system developed by the International Research Centre for Telecommunications and Radar (IRCTR). It was found that the algorithm is able to detect all landmines (including difficult to detect M14 mines) and classifies almost all landmines correctly with a large reduction in the number of false alarms caused by clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.

Słowa kluczowe

EN

ground penetrating radar; image processing; object detection; classification; clutter removal

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2005
• Tom: nr 2
• Strony: 9--15
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Ligthart E. E.

autor

Yarovoy A. G.

autor

Roth F.

autor

Ligthart L. P.

• International Research Centre for Telecommunications and Radar (IRCTR) Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg st 4, 2628 CD Delft, The Netherlands,