Enhanced Edge Detection Technique for SAR Images

Abstract

In this work a novel technique for automatic edge enhancement and detection in synthetic aperture radar (SAR) images is proposed. The edge enhancement phase has been proven to be critical in heterogeneous SAR images, and the method proposed is a good solution that can be used to deal with this type of data. The method proposes a robust edge enhancement directly in the wavelet transformed domain based on a combination of wavelet coefficients at different scales. It does not require any type of pre filtering of input data, and is independent of the statistics of the input image. The adaptation capability of the method to very diverse scenarios with no need of a priori knowledge or settings is a useful feature in view of its integration in an unsupervised segmentation. General TermsImage Processing.

Edge detection in SAR images using phase stretch transform

“…Thus it is required for more specialised methods to be used. Recent edge detection techniques can be classified in three main categories: methods based on the ratio of averages (ROA) of image intensities [6], methods based on Likelihood Ratio (LR) [7] and methods based on wavelet analysis [8]. In this work a physics-inspired digital image transformation is employed that emulates the propagation of electromagnetic waves through a diffractive medium with a dielectric function that has warped dispersive (frequency dependent) property [9].…”