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Proceedings Paper

Combining visual and IR images for sensor fusion: two approaches
Author(s): Stuart Smith; Lawrence A. Scarff
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Paper Abstract

This paper describes and compares two different methods for combining multisensor images into single integrated pictures for visual data analysis and data exploration. In the specific case considered here, the original images are thermal (IR) and visible. The first method preserves contrast in the thermal image and modulates local contrast by the structure of the high- frequency information in the visible image. This method produces a conventional gray-scale picture. The second method encodes the intensity at each pixel position in each image as the length of a line-segment, or 'limb,' of a stick-figure icon at the corresponding position in the output picture. This method produces an 'iconographic' picture. Although these two approaches differ significantly, they both satisfy the goal of incorporating the unique features of the thermal and visible images in a single integrated picture. We discuss the strengths and weaknesses of each method, and we suggest ways in which each might be improved and extended.

Paper Details

Date Published: 1 June 1992
PDF: 11 pages
Proc. SPIE 1668, Visual Data Interpretation, (1 June 1992); doi: 10.1117/12.59661
Show Author Affiliations
Stuart Smith, Univ. of Massachusetts/Lowell (United States)
Lawrence A. Scarff, Litton Itek Optical Systems (United States)

Published in SPIE Proceedings Vol. 1668:
Visual Data Interpretation
Joanna R. Alexander, Editor(s)

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