Genetic optimization of the HSTAMIDS landmine detection algorithm

Ravi K. Konduri; Geoff Z. Solomon; Keith DeJong; Herbert A. Duvoisin; Elizabeth E. Bartosz

doi:10.1117/12.544318

21 September 2004 Genetic optimization of the HSTAMIDS landmine detection algorithm

Ravi K. Konduri, Geoff Z. Solomon, Keith DeJong, Herbert A. Duvoisin, Elizabeth E. Bartosz

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.544318
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

CyTerra's dual sensor HSTAMIDS system has demonstrated exceptional landmine detection capabilities in extensive government-run field tests. Further optimization of the highly successful PentAD-class algorithms for Humanitarian Demining (HD) use (to enhance detection (Pd) and to lower the false alarm rate (FAR)) may be possible. PentAD contains several input parameters, making such optimization computationally intensive. Genetic algorithm techniques, which formerly provided substantial improvement in the detection performance of the metal detector sensor algorithm alone, have been applied to optimize the numerical values of the dual-sensor algorithm parameters. Genetic algorithm techniques have also been applied to choose among several sub-models and fusion techniques to potentially train the HSTAMIDS HD system in new ways. In this presentation we discuss the performance of the resulting algorithm as applied to field data.

Citation Download Citation

Ravi K. Konduri, Geoff Z. Solomon, Keith DeJong, Herbert A. Duvoisin, and Elizabeth E. Bartosz "Genetic optimization of the HSTAMIDS landmine detection algorithm", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.544318

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