Implementation of the Radon Transform Using Non-Equispaced Discrete Fourier Transforms

摘要

The Radon transform may be used to identify linear features in an image and has proven to be a useful tool for extracting roads and faint trails in Synthetic Aperture Radar (SAR) imagery. In particular, it is robust to the large amount of background clutter and speckle noise associated with such images. This document reports on an implementation of the Radon transform within the Analyst's Detection Support System (ADSS). In particular, a novel implementation method has been used that is based on non-equispaced discrete fourier transforms, which are leading edge. The report offers an analysis and experimental results for two paths of study: the discretization errors that arise from the approach and a matched filtering method that may be used to enhance detection results. (1 table, 21 figures, 7 refs.).