Detection of buried objects by fusing dual-band infrared images

Conference · Mon Nov 01 04:00:00 EST 1993

OSTI ID:10134642

Clark, G A; Sengupta, S K; Sherwood, R J; Buhl, M R; Schaich, P C; Kane, R J; Barth, M J; Fields, D J; Carter, M R

We have conducted experiments to demonstrate the enhanced detectability of buried land mines using sensor fusion techniques. Multiple sensors, including visible imagery, infrared imagery, and ground penetrating radar (GPR), have been used to acquire data on a number of buried mines and mine surrogates. Because the visible wavelength and GPR data are currently incomplete. This paper focuses on the fusion of two-band infrared images. We use feature-level fusion and supervised learning with the probabilistic neural network (PNN) to evaluate detection performance. The novelty of the work lies in the application of advanced target recognition algorithms, the fusion of dual-band infrared images and evaluation of the techniques using two real data sets.

• Research Organization: Lawrence Livermore National Lab., CA (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 10134642
• Report Number(s): UCRL-JC--114321; CONF-9311135--5; ON: DE94008286
• Country of Publication: United States
• Language: English

Related Subjects

350300
440800
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
450100
47 OTHER INSTRUMENTATION
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
CHEMICAL EXPLOSIONS AND EXPLOSIVES
CHEMICAL EXPLOSIVES
DETECTION
IMAGE PROCESSING
INFRARED RADIATION
MISCELLANEOUS INSTRUMENTATION
NEURAL NETWORKS
UNDERGROUND
VERIFICATION
WEAPONS