Date of Award
12-1994
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Steven K. Rogers, PhD
Abstract
Development of new imaging sensors has created a need for image processing techniques that can fuse images from different sensors or multiple images produced by the same sensor. The methods presented here focus on combining image data from the Airborne Visual and Infrared Imaging Spectrometer (AVIRIS) hyperspectral sensor into a single or smaller subset of images while maintaining the visual information necessary for human analysis. Three hierarchical multi-resolution image fusion techniques are implemented and tested using the AVIRIS image data and test images that contain various levels of correlated or uncorrelated noise. Two of the algorithms are published fusion methods that combine images from multiple sensors. The third method was developed to fuse any co-registered image data. This new method uses the spatial frequency response (contrast sensitivity) of the human visual system to determine which parts of the input images contain the salient features that need to be preserved in the composite image(s). After analyzing the signal-to-noise ratios and visual aesthetics of the fused images, contrast sensitivity based fusion is shown to provide excellent fusion results and, in every case, clearly outperformed the other two methods. Finally, as an illustrative example of how the fusion techniques are independent of the hyperspectral application, they are applied to fusing multiple polarimetric images from a Synthetic Aperture Radar to enhance automated targeting techniques.
AFIT Designator
AFIT-GE-ENG-94D-32
DTIC Accession Number
ADA289429
Recommended Citation
Wilson, Terry A., "Perceptual Based Image Fusion with Applications to Hyperspectral Image Data" (1994). Theses and Dissertations. 6430.
https://scholar.afit.edu/etd/6430
Comments
The author's Vita page is omitted.