Title :
Buried land mine detection using complex natural resonances on GPR data
Author :
Kolba, Mark P. ; Jouny, Ismail I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Lafayette Coll., Easton, PA, USA
Abstract :
In this paper, we discuss a modified Prony´s algorithm for use in buried land mine detection from ground penetrating radar (GPR) data. The algorithm finds the dominant complex natural resonances (CNRs) for vectors of time-domain GPR data. We consider the identification of objects present in two-dimensional images. The CNR features of an unknown image are processed through distance-based detectors with the CNR features of known objects from an object library. We analyze our algorithm performance versus SNR and also analyze performance for different distance detectors.
Keywords :
feature extraction; ground penetrating radar; landmine detection; object recognition; radar imaging; remote sensing by radar; resonance; CNR features; GPR; Prony algorithm; buried land mine detection; complex natural resonances; distance-based detectors; ground penetrating radar; image features; object identification; object library; time-domain data; two-dimensional images; Algorithm design and analysis; Detectors; Ground penetrating radar; Landmine detection; Libraries; Object detection; Performance analysis; Radar detection; Resonance; Time domain analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1293909
