Title :
A pattern recognition algorithm for the blind discrimination of liquid and solid filled munitions
Author :
Roberts, Randy S. ; Lewis, Paul S. ; Vela, Octavio A.
Author_Institution :
Los Alamos Nat. Lab., NM, USA
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
A new pattern recognition algorithm is described for the nondestructive evaluation of stockpiled munitions. The algorithm performs blind classification on munitions to determine if they are liquid-filled (chemical) or solid-filled (conventional) munitions. The algorithm uses attributes of the acoustic spectrum of the munition under inspection to perform the discrimination. Results are presented on the performance of the pattern recognition algorithm on a large set of data collected from chemical and conventional munitions at the US Tooele Army Depot.
Keywords :
feature extraction; US Tooele Army Depot; acoustic spectrum; blind classification; blind discrimination; chemical munitions; conventional munitions; liquid filled munitions; nondestructive evaluation; pattern recognition algorithm; solid filled munitions; Algorithm design and analysis; Chemicals; Classification algorithms; Feature extraction; Inspection; Laboratories; Pattern recognition; Resonance; Solids; Weapons;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540911
