Coresident sensor fusion and compression using the wavelet transform

Conference · Mon Mar 11 00:00:00 EST 1996

OSTI ID:211607

Yocky, D A

Imagery from coresident sensor platforms, such as unmanned aerial vehicles, can be combined using, multiresolution decomposition of the sensor images by means of the two-dimensional wavelet transform. The wavelet approach uses the combination of spatial/spectral information at multiple scales to create a fused image. This can be done in both an ad hoc or model-based approach. We compare results from commercial ``fusion`` software and the ad hoc, wavelet approach. Results show the wavelet approach outperforms the commercial algorithms and also supports efficient compression of the fused image.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 211607
• Report Number(s): SAND-95-2395C; CONF-9603135-1; ON: DE96006390
• Resource Relation: Conference: 9. national symposium on sensor fusion, Monterey, CA (United States), 11-14 Mar 1996; Other Information: PBD: 11 Mar 1996
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
REMOTE SENSING
IMAGE PROCESSING
DATA ANALYSIS
ALGORITHMS
MAPPING
MATHEMATICAL MODELS
IMAGES