Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances

Non-Gaussian Statistical Analysis of Polarimetric Synthetic Aperture Radar Images

This thesis describes general methods to analyse polarimetric synthetic aperture radar images. The primary application is for unsupervised image segmentation, and fast, practical methods are sought. The fundamental assumptions and statistical modelling are derived from the physics of electromagnetic scattering from distributed targets. The physical basis directly leads to the image phenomenon c...

sea target detection in polarimetric synthetic aperture radar images

study on polsar target detection essentially requires the cattering information and polarimetric statistical data. theoretical analysis shows that some terms of the second order scattering matrices such as coherence and covariance matrix clearly show the differences between nonsymmetrical man-made objects and natural clatters which being reflection symmetric. using the model derived from these ...

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...

Polarimetric Segmentation of Synthetic Aperture Radar Imagery

This paper considers the problem of clutter segmentation in fully polarimetric, high resolution, synthetic aperture radar (SAR) imagery. The goal of segmentation is to partition an image into regions of homogeneous terrain types (grass regions, tree regions, roads, etc.). Three approaches to segmentation are examined: (1) the optimal polarimetric classifier, (2) the optimal normalized polarimet...

Understanding Synthetic Aperture Radar Images