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22 July 1998 Infrared color vision: separating objects from backgrounds
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Abstract
The concept of multi-band infrared color vision is discussed in terms of combining two or more bands of infrared imagery into a single composite color image. This work is motivated by emerging new technologies in which two or more infrared bands are simultaneously imaged for improved discrimination of objects from backgrounds. One of the current objectives of this work is to quantify the improvement obtained over single band infrared imagery to detect dim targets in clutter. Methods are discussed for mapping raw image data into an appropriate color space and then processing it to achieve an intuitively meaningful color display for a human viewer. In this regard, the final imagery should provide good color contrast between objects and backgrounds and consistent colors regardless of environmental conditions such as solar illumination and variations in surface temperature. Initial performance measures show that infrared color can improve discrimination significantly over single band imaging.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dean A. Scribner, Jonathon M. Schuler, Penny R. Warren, Michael P. Satyshur, and Melvin R. Kruer "Infrared color vision: separating objects from backgrounds", Proc. SPIE 3379, Infrared Detectors and Focal Plane Arrays V, (22 July 1998); https://doi.org/10.1117/12.317576
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