A sensor fusion model for the detection and classification of anti-personnel mines
International Journal of Innovative Computing and Applications
| Hi-index | 0.00 |
There are mainly two types of landmine, anti-tank mine (ATM) and antipersonnel mine (APM), which kill or maim people around the world. Much research effort has been devoted in trying to detect and remove APM. APM is smaller than ATM and in addition, most of them are made of plastic making them more difficult to be detected. Some of the common mine detection techniques include using sensors to get raw data, signal processing and image processing. Plastic APM has dielectric properties, this makes it similar to that of soil and the reflection from the mine is usually weak and masked by background. It is therefore very difficult to detect this type of landmine with conventional Ground Penetrating Radar (GPR), though it is a good method to detect metallic landmine. Many new techniques have appeared in recent years in an effort to solve this so called "inverse scattering problem". In this paper, we review and discuss the GPR data acquisition, signal processing, image processing methods.