Information-based sensor management for the intelligent tasking of ground penetrating radar and electromagnetic induction sensors in landmine detection pre-screening

Mark P. Kolba; Leslie M. Collins

doi:10.1117/12.851360

29 April 2010 Information-based sensor management for the intelligent tasking of ground penetrating radar and electromagnetic induction sensors in landmine detection pre-screening

Mark P. Kolba, Leslie M. Collins

Author Affiliations +

Proceedings Volume 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV; 766429 (2010) https://doi.org/10.1117/12.851360
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Previous work has introduced a framework for information-based sensor management that is capable of tasking multiple sensors searching for targets among a set of discrete objects or in a cell grid. However, in many real-world scenarios-- such as detecting landmines along a lane or road--an unknown number of targets are present in a continuous spatial region of interest. Consequently, this paper introduces a grid-free sensor management approach that allows multiple sensors to be managed in a sequential search for targets in a grid-free spatial region. Simple yet expressive Gaussian target models are introduced to model the spatial target responses that are observed by the sensors. The sensor manager is then formulated using a Bayesian approach, and sensors are directed to make new observations that maximize the expected information gain between the posterior density on the target parameters after a new observation and the current posterior target parameter density. The grid-free sensor manager is applied to a set of real landmine detection data collected with ground penetrating radar (GPR) and electromagnetic induction (EMI) sensors at a U.S. government test site. Results are presented that compare the performance of the sensor manager with the performance of an unmanaged joint pre-screener that fuses individual GPR and EMI pre-screeners. The sensor manager is demonstrated to provide improved detection performance while requiring substantially fewer sensor observations than are made with the unmanaged joint pre-screening approach.

Citation Download Citation

Mark P. Kolba and Leslie M. Collins "Information-based sensor management for the intelligent tasking of ground penetrating radar and electromagnetic induction sensors in landmine detection pre-screening", Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 766429 (29 April 2010); https://doi.org/10.1117/12.851360

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

Data modeling

Electromagnetic coupling

General packet radio service

Land mines

Target detection

Affine motion model

Show All Keywords

Keywords/Phrases

Search In:

Publication Years