1 February 1998 Spiral image fusion: a 30 parallel channel case
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Optical Engineering, 37(2), (1998). doi:10.1117/1.601637
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.
Jason M. Kinser, Charles L. Wyman, Bernard L. Kerstiens, "Spiral image fusion: a 30 parallel channel case," Optical Engineering 37(2), (1 February 1998). http://dx.doi.org/10.1117/1.601637
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KEYWORDS
Image fusion

Electronic filtering

Neurons

Image segmentation

Crystals

Image filtering

Binary data

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