Title

Change Detection for Implanted IED Region of Interest Identification

Presenter Information

Thomas James Woodard

Department

Electrical and Computer Engineering

Major

Electrical Engineering

Research Advisor

Agarwal, Sanjeev, 1971-

Advisor's Department

Electrical and Computer Engineering

Funding Source

US Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate, Countermine Division, Airborne Application Branch

Abstract

Implanted Improvised Explosive Devices (IED) along the supply lines is a major source of casualties and operational delays in combat and peace keeping efforts. In this paper we develop several techniques for change detection in high-resolution mid-wave infrared (MWIR) imagery for IED detection. lEDs are often camouflaged so that it is very difficult to differentiate these from natural clutter, especially in urban environment. With the availability of images known to be clear of any lEDs, detection performance along the route can be improved significantly by looking for changes in the current imagery, with respect to the past imagery, that would not occur naturally. Several techniques have been investigated in order to improve performance in change detection which includes methods of image registration, preprocessing techniques, the method of image comparison, and assessment of high variance areas.

Biography

Thomas Woodard is a senior in Electrical Engineering at the University of Missouri - Rolla. He is an Army ROTC Cadet and upon graduation will receive his commission as a second lieutenant in the Infantry.

Research Category

Engineering

Presentation Type

Oral Presentation

Document Type

Presentation

Award

Engineering oral presentation, Second place

Presentation Date

12 Apr 2006, 10:00 am

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Apr 12th, 10:00 AM

Change Detection for Implanted IED Region of Interest Identification

Implanted Improvised Explosive Devices (IED) along the supply lines is a major source of casualties and operational delays in combat and peace keeping efforts. In this paper we develop several techniques for change detection in high-resolution mid-wave infrared (MWIR) imagery for IED detection. lEDs are often camouflaged so that it is very difficult to differentiate these from natural clutter, especially in urban environment. With the availability of images known to be clear of any lEDs, detection performance along the route can be improved significantly by looking for changes in the current imagery, with respect to the past imagery, that would not occur naturally. Several techniques have been investigated in order to improve performance in change detection which includes methods of image registration, preprocessing techniques, the method of image comparison, and assessment of high variance areas.