Multisensor Data Fusion Of Laser Radar And Forward Looking Infrared (FLIR) For Target Segmentation And Enhancement

Carl W. Tong; Steven K. Rogers; James P. Mills; Matthew K. Kabrisky

doi:10.1117/12.940553

24 September 1987 Multisensor Data Fusion Of Laser Radar And Forward Looking Infrared (FLIR) For Target Segmentation And Enhancement

Carl W. Tong, Steven K. Rogers, James P. Mills, Matthew K. Kabrisky

Author Affiliations +

Proceedings Volume 0782, Infrared Sensors and Sensor Fusion; (1987) https://doi.org/10.1117/12.940553
Event: 1987 Technical Symposium Southeast on Optics, Electro-Optics, and Sensors, 1987, Orlando, FL, United States

Abstract

The synergistic combination of laser radar and infrared sensors segments the man made objects out of cluttered back-ground and enhances the the distinguishing features of those objects. The gradients extracted from laser radar and infrared sensors provide the basic tools. The nearest neighbors' patterns aide in determining the actual location, size and boundary of the targets. The combination of processed laser radar and infrared data through multiple masking presents information that is not visible in either of the sensors by itself. This paper will discuss the gradient based methods of target segmentation and enhancement and present some characteristic results.

Citation Download Citation

Carl W. Tong, Steven K. Rogers, James P. Mills, and Matthew K. Kabrisky "Multisensor Data Fusion Of Laser Radar And Forward Looking Infrared (FLIR) For Target Segmentation And Enhancement", Proc. SPIE 0782, Infrared Sensors and Sensor Fusion, (24 September 1987); https://doi.org/10.1117/12.940553

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