Title :
Wavelet based UXO detection
Author :
Hodgson, S. ; Dunstan, N. ; Murison, R.
Author_Institution :
Sch. of Math. & Comput. Sci., Univ. of New England, Australia
Abstract :
The detection and classification of unexploded ordnance (UXO) is considered a multidimensional pattern recognition problem. Standard techniques in solving multidimensional detection and classification problems involve using large sets of templates or libraries. This paper shows that by using wavelet transformation a single library will allow a particular class of ordnance to be classified over a range of depths.
Keywords :
data mining; landmine detection; military computing; pattern classification; wavelet transforms; data mining; large template sets; library; multidimensional pattern recognition problem; unexploded ordnance classification; wavelet based UXO detection; Australia; Azimuth; Calibration; Computer science; Costs; Discrete wavelet transforms; Environmental economics; Frequency; Libraries; Signal resolution;
Conference_Titel :
Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE International Conference on
Print_ISBN :
0-7695-1754-4
DOI :
10.1109/ICDM.2002.1184012
