- Tytuł:
- Ultra-wideband 3D image processing for improving landmine detection with GPR
- Autorzy:
-
Ligthart, E. E.
Yarovoy, A. G.
Roth, F.
Ligthart, L. P. - Powiązania:
- https://bibliotekanauki.pl/articles/307781.pdf
- Data publikacji:
- 2005
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
ground penetrating radar
image processing
object detection
classification
clutter removal - Opis:
- 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.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2005, 2; 9-15
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł