Anaheim Convention Center
Anaheim, California, United States
26 - 30 April 2020
Conference SI215
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV
Important
Dates
show | hide
Abstract Due:
16 October 2019

Author Notification:
20 December 2019

Manuscript Due Date:
1 April 2020

Conference
Committee
show | hide
Conference Chairs
  • Steven S. Bishop, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
  • Jason C. Isaacs, Naval Surface Warfare Ctr. Panama City Div. (United States)

Program Committee
Program Committee continued...
  • Tesfaye G-Michael, Naval Surface Warfare Ctr. Panama City Div. (United States)
  • Pete Howard, U.S. Army CERDEC NVESD (United States)
  • James M. Keller, Univ. of Missouri-Columbia (United States)
  • Aaron LaPointe, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
  • Motoyuki Sato, Tohoku Univ. (Japan)
  • Waymond R. Scott, Georgia Institute of Technology (United States)
  • Alina Zare, Univ. of Florida (United States)

Call for
Papers
Papers and presentations providing historic perspectives and reflections of accomplishments for this year’s 25th anniversary conference are sought. In the terrestrial realm, both hastily scattered, and buried minefields, complex obstacles or engineered barriers and isolated improvised explosive devices can be a major impediment to military operations. For this reason the remote detection of buried explosive objects, surface-laid mines, and minefields is a key to the implementation of new Army warfighting doctrine based on rapid movement. Detection of mines and explosive objects to address Naval doctrine in the marine environment, whether in the surf zone, near-shore region, or in deep water is also a continuing technical challenge. Additionally, the use of mines as effective defensive weapons and improvised explosive objects and homemade explosives as inexpensive terrorist alternatives have proliferated worldwide during the last decade. As a consequence, the detection of mines, explosive objects, and obscured targets remains an ever important topic, not just because of its military related applications, but also for its humanitarian and environmental impacts. It is relatively easy to lay a minefield or use an explosive device but very dangerous, costly, and time consuming to detect, localize and to clear it. In the humanitarian context, the threat of a minefield is that it remains active and in place for a very long time, generally outlasting any minefield documentation. Improvised devices can cause massive personal trauma and these devices present unique detection challenges.

Unexploded ordnance presents a hazard for military operations during and civilian operations after conflicts, as well as a tremendous environmental liability on lands where it is present as the legacy of decades of testing and training. It is very important, therefore, to directly address these issues in a broad forum. The detection of mines/minefields/complex obstacles, other explosive objects like improvised explosive devices, and unexploded ordnance is a challenging problem because of the variability in target shape and size, material, color, and backgrounds and because they can undergo changes once deployed. In general, mine detection is hampered by problems of low detector signal under common environmental conditions. Detection frequently occurs in the presence of significant amounts of both natural and anthropogenic clutter. In order to increase the effectiveness of mine detection it is essential to develop technically superior sensor modalities, better understand environmental effects on sensors, implement innovative uses of sensors, and enhance sensor fusion and data fusion capabilities.

Suggested topics for submissions:
  • mine sensor technologies of all kinds (including acoustic, electro-optics, magnetics, active and passive UV to LWIR, GPR, passive mm-wavelength imaging, terahertz technology, nuclear methods (including imaging), multispectral and hyperspectral imaging, polarization imaging, x-ray tomography, seismic imaging, vibrometric lasers and radars) as well as research systems applied to detection of mines, UXO, IED, wire, or hazardous objects buried underground or obscured by foliage, atmosphere, ocean water, or buildings
  • multispectral and hyperspectral imaging technologies applied to the detection of landmines, UXO and IED, both surface and buried/obscured
  • novel biological and chemical approaches to explosives sensing in the context of landmine, UXO, and IED detection
  • autonomous and unmanned robotic technologies for mine detection, localization, and neutralization
  • new and emerging technologies for the detection and identification of minefields, landmines, and IED from airborne platforms and commercial satellites
  • the effects of dynamic soil processes and environmental conditions on clutter and false alarms as well as on the geophysical signatures of landmines, UXO, and IED
  • evaluation tests of geophysical sensors for humanitarian demining
  • system applications of technology addressing the detection of buried or underwater minelike targets, ordnance, hazardous waste materials in plastic or metallic containers, and obscured structures of all kinds
  • measurement instruments and systems for the acquisition of data for the detection of buried and obscured targets, including ground-based, airborne, shipborne, and underwater systems, and related research investigations sensor and target models, and their predictive capabilities and limitations
  • 2D and 3D synthetic aperture processing techniques for acoustics, sonar and radar technologies
  • multisensor signal processing and fusion techniques
  • image and signal processing algorithms and related performance evaluation measures, such as probability of detection and false alarm rate
  • results of measurements addressing the detectability of targets that are buried, obscured, or in shallow water or coastal environments using both multispectral and hyperspectral systems, active laser systems, synthetic aperture radar, and other systems such as biological, chemical, and olfactory robotics
  • the effective analysis of the operator as a signal processing component in a detection system, cognitive engineering
  • other enhancements to improve detection of surface mines and minefields, especially in areas to improve night operations, increase area coverage rates, and increase standoff distances or operational altitudes
  • passive and active detection of primitive tunnels, underground passageways and bunkers, and tunneling activity.
  • Back to Top