Gabor Segmentation of High Resolution Synthetic Aperture Radar Imagery
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
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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.
- Active and Passive Radar Detection and Equipment