Multi-Stage Neural Supporting System for Time Domain Metal Detectors

In this work we propose an end-user supporting system for humanitarian demining tasks to semi-automatically classify signals of time domain metal detectors. Our multi-stage system consists of a first module to smooth the raw signals, followed by a neural feedforward net to classify the received sign...

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Bibliographic Details
Main Authors: Harneit, S., Reuter, M., Tadjine, H.H.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic devices
Acoustic signal detection
Coils
Detectors
Electromagnetic induction
humanitarian demining
Landmine detection
Magnetic heads
multi-stage feedforward net
Object detection
Signal processing
Soil
time domain metal detectors
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Description
Summary:In this work we propose an end-user supporting system for humanitarian demining tasks to semi-automatically classify signals of time domain metal detectors. Our multi-stage system consists of a first module to smooth the raw signals, followed by a neural feedforward net to classify the received signal's decay curve of the localized object at each sensor position. The resulting output activities of this net are accumulated to spatial vectors, which are propagated to a second feedforward net. Its resulting output activities are visualized in a 3D-end user interface and may be analyzed by different signal processing routines to be sensitive to changing soils and environmental conditions.
ISSN:2154-4824
2154-4832
DOI:10.1109/WAC.2006.376062