Paper
26 June 1997 Model-based sensor fusion for aviation
Misha Pavel, Ravi K. Sharma
Author Affiliations +
Abstract
We describe a sensor fusion algorithm based on a set of simple assumptions about the relationship among the sensors. Under these assumptions we estimate the common signal in each sensor, and the optimal fusion is then approximated by a weighted sum of the common component in each sensor output at each pixel. We then examine a variety of techniques to map the sensor signals onto perceptual dimensions, such that the human operator can benefit from the enhanced fused image, and simultaneously, be able to identify the source of the information. We examine several color mapping schemes.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Misha Pavel and Ravi K. Sharma "Model-based sensor fusion for aviation", Proc. SPIE 3088, Enhanced and Synthetic Vision 1997, (26 June 1997); https://doi.org/10.1117/12.277231
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Image sensors

Image fusion

Associative arrays

Infrared cameras

Sensor fusion

Color vision

RELATED CONTENT

Adaptive multisensor change detection
Proceedings of SPIE (October 01 1990)
Unifying Voice And Hand Indication Of Spatial Layout
Proceedings of SPIE (March 01 1990)
Sensor fusion: a preattentive vision approach
Proceedings of SPIE (July 24 2000)
Image fusion and sampling artifacts
Proceedings of SPIE (August 26 2008)

Back to Top