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Proceedings Paper

Analyzing target detection performance with multispectral fused images
Author(s): J. Lanir; M. Maltz
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Paper Abstract

With the advance in multispectral imaging, the use of image fusion has emerged as a new and important research area. Many studies have considered the advantages of specific fusion methods over the individual input bands in terms of human performance, yet few comparison studies have been conducted to determine which fusion method is preferable to another. This paper examines four different fusion methods, and compares human performance of observers viewing fused images in a target detection task. In the presented experiment, we implemented an approach that has not been generally used in the context of image fusion evaluation: we used the paired comparison technique to qualitatively assess and scale the subjective value of the fusion methods. Results indicated that the false color and average methods showed the best results.

Paper Details

Date Published: 24 August 2006
PDF: 5 pages
Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631205 (24 August 2006); doi: 10.1117/12.678164
Show Author Affiliations
J. Lanir, Ben-Gurion Univ. of the Negev (Israel)
M. Maltz, Ben-Gurion Univ. of the Negev (Israel)

Published in SPIE Proceedings Vol. 6312:
Applications of Digital Image Processing XXIX
Andrew G. Tescher, Editor(s)

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