Multispectral image fusion for detecting land mines

Conference · Sat Apr 01 00:00:00 EST 1995

OSTI ID:149991

Clark, G A; Sengupta, S K; Aimonetti, W D; Roeske, F; Donetti, J G; Fields, D J; sherwood, R J; Schaich, P C

This report details a system which fuses information contained in registered images from multiple sensors to reduce the effects of clutter and improve the ability to detect surface and buried land mines. The sensor suite currently consists of a camera that acquires images in six bands (400nm, 500nm, 600nm, 700nm, 800nm and 900nm). Past research has shown that it is extremely difficult to distinguish land mines from background clutter in images obtained from a single sensor. It is hypothesized, however, that information fused from a suite of various sensors is likely to provide better detection reliability, because the suite of sensors detects a variety of physical properties that are more separable in feature space. The materials surrounding the mines can include natural materials (soil, rocks, foliage, water, etc.) and some artifacts.

• Research Organization: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 149991
• Report Number(s): UCRL-JC-120319; CONF-950472-22; ON: DE96002641
• Resource Relation: Conference: SPIE international symposium on aerospace/defense sensing and dual-use photonics, Orlando, FL (United States), 17-21 Apr 1995; Other Information: PBD: Apr 1995
• Country of Publication: United States
• Language: English

Related Subjects

44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
IMAGES
IMAGE PROCESSING
ORDNANCE
DETECTION
EXPLOSIVES
PATTERN RECOGNITION
NEURAL NETWORKS
ALGORITHMS
CAMERAS
REMOTE SENSING