Date of Award
12-1991
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Dennis W. Ruck, PhD
Abstract
This thesis investigates the use of Gabor filters and a radial basis function (RBF) network for segmentation of high resolution (1 foot by 1 foot) synthetic aperture radar (SAR) imagery. Processing involved correlation between the SAR imagery and Gabor functions. Two methods for selecting the optimal Gabor filters are presented. This research used complex Gabor functions and operated on single polarization HH complex data. Following the selection f the proper Gabor filters, correlation coefficients for each image were calculated and used as features for the RBF network. Provided are results demonstrating how Gabor processing and a RBF network provide image segmentation.
AFIT Designator
AFIT-GE-ENG-91D-23
DTIC Accession Number
ADA243753
Recommended Citation
Hazlett, Michael A., "Gabor Segmentation of High resolution Synthetic Aperture Radar Imagery" (1991). Theses and Dissertations. 7555.
https://scholar.afit.edu/etd/7555
Comments
The author's Vita page is omitted.