A New Approach to the Histogram-Based Segmentation of Synthetic Aperture Radar Images

an automatic algorithm based on angular histogram for corregistartion of synthetic aperture radar images

coregistration of optical and radar imageries is a major pre-processing step in many remote sensing applications including change detection and interferometric processing. specially, the coregistration faced more difficulties in radar imageries due to the high noise level and intense spatial-temporal decorrelation. hence, non-automatic coregistration methods are much more time consuming and ine...

Understanding Synthetic Aperture Radar Images

Optical images-based edge detection in Synthetic Aperture Radar images

We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by Lopez-Molina et al, using the non-standard neighbourhood configuration proposed by Fu et al, to reduce the speckle noise in polarimetric SAR i...

A Modified Segmentation Approach for Synthetic Aperture Radar Images on Level Set

In this paper, we propose a method towards unsupervised segmentation of synthetic aperture radar (SAR) image for segmentation of homogeneous regions. The SAR amplitude image is modeled by Rayleigh distribution. Moreover, in order to avoid geometric topology variations, the curve evolution is implemented via level sets. In addition, a new energy function is proposed, which is more objective and ...

Segmentation of polarimetric synthetic aperture radar data

A statistical image model is proposed for segmenting polarimetric synthetic aperture radar (SAR) data into regions of homogeneous and similar polarimetric backscatter characteristics. A model for the conditional distribution of the polarimetric complex data is combined with a Markov random field representation for the distribution of the region labels to obtain the posterior distribution. Optim...