PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
Metal detection has been in use for many years as a method for mine detection. The one major downside to metal detection is that most objects with sufficient metal content will be detected thus increasing the false alarm rate and decreasing the efficiency of metal detection as a sensor for mine detection. Based on land mine detection research carried out by the Defense Science and Technology Laboratory (Dstl), this paper focuses on methods to reduce the negative effect of metallic clutter on sensor performance by using a dual height metal detector array on a vehicle mounted platform to reject unwanted clutter while highlighting objects that are more likely to be of interest. The paper also covers the potential of exploiting the dual height configuration for target classification and identification using feature extraction methods and neural networks.
Daniel M. Port,Ian A. Burch, andRobert M. Deas
"Dual height metal detection for clutter rejection and target classification", Proc. SPIE 4742, Detection and Remediation Technologies for Mines and Minelike Targets VII, (13 August 2002); https://doi.org/10.1117/12.479148
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Daniel M. Port, Ian A. Burch, Robert M. Deas, "Dual height metal detection for clutter rejection and target classification," Proc. SPIE 4742, Detection and Remediation Technologies for Mines and Minelike Targets VII, (13 August 2002); https://doi.org/10.1117/12.479148