Antipersonnel mine detection on infrared images

Author

López, P. ; Balsi, M. ; Vilariño, D.L. ; Cabello, D.

Author_Institution

Dept. of Electron. & Comput., Santiago de Compostela Univ., Spain

fYear

2000

fDate

2000

Firstpage

109

Lastpage

113

Abstract

Detection and clearance of buried mines is a big problem with lots of humanitarian, environmental and economic implications. Classic techniques, such as metal detectors, are not suitable for detecting mines with low or null metal content. In this work we propose a novel method based on the analysis of the different thermodynamic behaviour of the mines and the soil using a sequence of infrared images. In order to process this information, we propose the use of a specific type of neural network characterized by its parallel nature, high processing speed, low cost and power consumption and small size

Keywords

buried object detection; image sequences; infrared imaging; military computing; neural nets; antipersonnel mine detection; buried mine clearance; buried mine detection; high processing speed; image sequence; infrared images; military systems; neural network; soil; thermodynamic behaviour; Costs; Environmental economics; Image analysis; Image sequence analysis; Infrared detectors; Infrared imaging; Neural networks; Power generation economics; Soil; Thermodynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Technology and Society, 2000. University as a Bridge from Technology to Society. IEEE International Symposium on

Conference_Location

Rome

Print_ISBN

0-7803-5803-1

Type

conf

DOI

10.1109/ISTAS.2000.915587

Filename

915587