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Optical Engineering

Spiral image fusion: a 30 parallel channel case
Author(s): Jason M. Kinser; Charles L. Wyman; Bernard L. Kerstiens
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Paper Abstract

Image fusion is a difficult task since the volume of data is quite large and the target is usually not completely represented in any single channel. Results from a spiral image fusion technique based on the pulse-coupled neural network to fuse channels into a set of single channel complex images are presented. These new images can then be filtered by a Fourier filter to find the target. The example used to demonstrate this technique uses images from a 30 channel multispectral sensor viewing a single scene.

Paper Details

Date Published: 1 February 1998
PDF: 7 pages
Opt. Eng. 37(2) doi: 10.1117/1.601637
Published in: Optical Engineering Volume 37, Issue 2
Show Author Affiliations
Jason M. Kinser, George Mason Univ. (United States)
Charles L. Wyman, Mevatec (United States)
Bernard L. Kerstiens, US Army Strategic Defense Command (United States)


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