Detection and classification of buried objects with an adaptive acoustic mine-hunting system

Cost- and time-effective mine countermeasures have become high priority in today's U.S. Navy. Current systems lack adequate target classification/localization capabilities; and thus development of new and innovative technologies is essential for mine search operations in littoral environments....

Full description

Saved in:
Bibliographic Details
Published inMTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295) Vol. 1; pp. 212 - 219 vol.1
Main Authors Sternlicht, D.D., Lernonds, D.W., Dikeman, R.D., Ericksen, M., Schock, S.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Cost- and time-effective mine countermeasures have become high priority in today's U.S. Navy. Current systems lack adequate target classification/localization capabilities; and thus development of new and innovative technologies is essential for mine search operations in littoral environments. A unique system design is described that fuses sub-bottom seafloor imagery and signal classification algorithms. Seafloor and subbottom maps are produced by a compact 6 transmitter, 32 element receive array sonar system employing a FM upsweep transmit signal containing energy from 5 to 23 kHz. This system provides 4 to 8 cm spatial resolution, up to 2 m bottom penetration, and is ideally suited for detecting proud and buried mine-like targets. Image processing algorithms automatically detect and localize targets of interest. Targets are extracted and passed to biomimetic signal classification algorithms that map time-frequency patterns into object class declarations. The system and processing stages are presented and an experiment is described in which buried objects consisting of a concrete block, coral head, sand-filled aluminum spheres, sand-filled scuba tanks, 155 mm ordnance, and a mine-shape are successfully differentiated. These results are encouraging, and suggest that a hybrid system employing a conjunct seafloor image and biomimetic signal classification can rapidly and accurately detect and classify buried mine-like objects in the littorals.
ISBN:0933957289
9780933957282
DOI:10.1109/OCEANS.2001.968717