Title :
Landmine detection using the discrete spectrum of relaxation frequencies
Author :
Wei, Mu-Hsin ; Scott, Waymond R., Jr. ; McClellan, James H.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Several landmine detection techniques using electromagnetic induction (EMI) sensors have been proposed in the past decade. In this paper, we propose a class of detection techniques based on the discrete spectrum of relaxation frequencies (DSRF). Two DSRF detection methods are demonstrated: one using the support vector machine and one using the k-nearest neighbor method. A soil model is also proposed to identify EMI response from the magnetic properties of the soil. A detection framework is suggested to incorporate the soil model and the classifier. The robustness of landmine detection using the DSRF is demonstrated.
Keywords :
electromagnetic induction; landmine detection; pattern classification; soil; support vector machines; DSRF; EMI sensors; discrete spectrum of relaxation frequencies; electromagnetic induction; k-nearest neighbor method; landmine detection techniques; soil model; support vector machine; Electromagnetic induction; Electromagnetic interference; Kernel; Landmine detection; Sensors; Soil; Support vector machines; Electromagnetic induction (EMI); detection; discrete spectrum of relaxation frequencies (DSRF); support vector machine;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049260