1 February 1998 Spiral image fusion: a 30 parallel channel case
Author Affiliations +
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, Jason M. Kinser, Charles L. Wyman, Charles L. Wyman, Bernard L. Kerstiens, Bernard L. Kerstiens, } "Spiral image fusion: a 30 parallel channel case," Optical Engineering 37(2), (1 February 1998). https://doi.org/10.1117/1.601637 . Submission:
JOURNAL ARTICLE
7 PAGES


SHARE
RELATED CONTENT

Multisensor image analysis system demonstration
Proceedings of SPIE (June 30 1992)
Neural network post-processing of grayscale optical correlator
Proceedings of SPIE (September 10 2005)
Rail defect classification by adaptive self-organized map
Proceedings of SPIE (October 04 2001)
Morphological Hopfield nets
Proceedings of SPIE (June 29 1994)

Back to Top