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Details

RADC Seismic Classifier Design.

AD767208

Publication Date	1973
Personal Author	Proctor, A. H.; Roach, J. E.; Fick, M. H.
Page Count	98
Abstract	The report describes the design and evaluation of seismic classifiers for distinguishing among humans, heavy trucks, armored personnel carriers, helicopters, and C-131 aircraft. The data used to develop these classifiers consisted of many digitized seismometer responses to each of the intrusion targets and was collected by the Sensor Development Section of the Surveillance and Control Division at the West Lee Test Site. The Interactive Processing Section of the Information Sciences Division analyzed this waveform data and extracted an initial set of 48 features. The on-line pattern analysis and recognition system (OLPARS) was then used to develop several seismic classifier designs which are based on different subsets of the initial 48 features. (Modified author abstract)
Keywords	Microseisms Seismic waves Pattern recognition Target discrimination Sensors Vehicles Humans Power spectra Helicopters Transport planes Computer programs Seismic detection Computer graphics C-131 aircraft Signal processing OLPARS(On Line Pattern Analysis and Recognition Systems) On line pattern analysis and recognition systems
Source Agency	Invalid Source Agency Code
NTIS Subject Category	63I - Seismic Detection
Corporate Authors	Rome Air Development Center Griffiss Afb N Y
Document Type	Technical Report
Title Note	Technical rept.
NTIS Issue Number	197322

RADC Seismic Classifier Design.

RADC Seismic Classifier Design.
AD767208

Publication Date	1973
Personal Author	Proctor, A. H.; Roach, J. E.; Fick, M. H.
Page Count	98
Abstract	The report describes the design and evaluation of seismic classifiers for distinguishing among humans, heavy trucks, armored personnel carriers, helicopters, and C-131 aircraft. The data used to develop these classifiers consisted of many digitized seismometer responses to each of the intrusion targets and was collected by the Sensor Development Section of the Surveillance and Control Division at the West Lee Test Site. The Interactive Processing Section of the Information Sciences Division analyzed this waveform data and extracted an initial set of 48 features. The on-line pattern analysis and recognition system (OLPARS) was then used to develop several seismic classifier designs which are based on different subsets of the initial 48 features. (Modified author abstract)
Keywords	Microseisms Seismic waves Pattern recognition Target discrimination Sensors Vehicles Humans Power spectra Helicopters Transport planes Computer programs Seismic detection Computer graphics C-131 aircraft Signal processing OLPARS(On Line Pattern Analysis and Recognition Systems) On line pattern analysis and recognition systems
Source Agency	Invalid Source Agency Code
NTIS Subject Category	63I - Seismic Detection
Corporate Authors	Rome Air Development Center Griffiss Afb N Y
Document Type	Technical Report
Title Note	Technical rept.
NTIS Issue Number	197322