Rapid surveying of buried targets by hybrid seafloor image and biomimetic signal classification

Daniel D. Sternlicht; R. David Dikeman; David W. Lemonds; Marc Ericksen; Steven G. Schock

doi:10.1117/12.445446

18 October 2001 Rapid surveying of buried targets by hybrid seafloor image and biomimetic signal classification

Daniel D. Sternlicht, R. David Dikeman, David W. Lemonds, Marc Ericksen, Steven G. Schock

Proceedings Volume 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI; (2001) https://doi.org/10.1117/12.445446
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Acoustic detection and classification of buried mines presents a challenging and, as of yet, unsolved object recognition problem. Techniques for detecting and classifying mine-like targets in backscatter images created with broadband sonars are starting to yield promising results. These images represent energy vs. time mappings of target echoes; however, further information on potential targets can be extracted from the spectral and temporal content of these broadband signals. An approach to classifying the time-frequency characteristics of target echoes measured with a 3D, 5-23 kHz, forward/aft sweeping, buried object imaging system is described. Matched spatial filters are applied to backscatter images representing horizontal seafloor slices. Detection outputs are used to identify beams and ranges for candidate targets. Time- spectral features are then extracted from the appropriate time-series component, and input to an artificial neural network trained to identify mine-like objects. Fusion of image and signal classification algorithms applied to these data is expected to result in rapid identification of buried targets and a reduction in false alarm rates.

Citation Download Citation

Daniel D. Sternlicht, R. David Dikeman, David W. Lemonds, Marc Ericksen, and Steven G. Schock "Rapid surveying of buried targets by hybrid seafloor image and biomimetic signal classification", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); https://doi.org/10.1117/12.445446

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available