Dual-band, infrared buried mine detection using a statistical pattern recognition approach
The main objective of this work was to detect surrogate land mines, which were buried in clay and sand, using dual-band, infrared images. A statistical pattern recognition approach was used to achieve this objective. This approach is discussed and results of applying it to real images are given.
- 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:
- 10182952
- Report Number(s):
- UCRL-ID-114838; ON: DE93041279
- Resource Relation:
- Other Information: PBD: Aug 1993
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
47 OTHER INSTRUMENTATION
BOMBS
DETECTION
PLASTICS
INFRARED THERMOGRAPHY
METALS
UNDERGROUND
CLAYS
SAND
IMAGE PROCESSING
PATTERN RECOGNITION
IMAGES
EMISSIVITY
WAVELENGTHS
DAILY VARIATIONS
450100
440600
CHEMICAL EXPLOSIONS AND EXPLOSIVES
OPTICAL INSTRUMENTATION
47 OTHER INSTRUMENTATION
BOMBS
DETECTION
PLASTICS
INFRARED THERMOGRAPHY
METALS
UNDERGROUND
CLAYS
SAND
IMAGE PROCESSING
PATTERN RECOGNITION
IMAGES
EMISSIVITY
WAVELENGTHS
DAILY VARIATIONS
450100
440600
CHEMICAL EXPLOSIONS AND EXPLOSIVES
OPTICAL INSTRUMENTATION