Spiral image fusion: a 30 parallel channel case

被引：5

作者：

Kinser, JM

Wyman, CL

Kerstiens, BL

机构：

[1] George Mason Univ, Inst Biosci Bioinformat & Biotechnol, Fairfax, VA 22030 USA

[2] Mevatec Corp, Huntsville, AL 35806 USA

[3] USASSDC, Space & Strateg Def Command, Huntsville, AL 35807 USA

来源：

OPTICAL ENGINEERING | 1998年 / 37卷 / 02期

关键词：

sensor fusion; pulsed-coupled neural networks; fractional power filters; Fourier filters;

D O I：

10.1117/1.601637

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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. (C) 1998 Society of Photo-Optical Instrumentation Engineers.

引用

页码：492 / 498

页数：7

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