Knowledge of the exact statistical properties of the signal plays an important role in the
applications of Polarimetric Synthetic Aperture Radar (PolSAR) data. In the last three …

The simple linear iterative clustering (SLIC) algorithm shows good performance in
superpixel generation for optical imagery. However, SLIC can perform poorly when there is …

In this paper, we propose a new test statistic for unsupervised change detection in
polarimetric radar images. We work with multilook complex covariance matrix data, whose …

This paper presents an application of the recent advances in the field of spherically invariant
random vector (SIRV) modeling for coherency matrix estimation in heterogeneous clutter …

A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this
paper. Its input consists of segments, and each one is assigned the class which minimizes a …

Both signal processing and image processing are playing increasingly important roles in
remote sensing. As most data from satellites are in image form, image processing has been …

We have recently presented a novel unsupervised, non-Gaussian, and contextual clustering
algorithm for segmentation of polarimetric synthetic aperture radar (PolSAR) images. This …

Simple linear iterative clustering (SLIC) algorithm was proposed for superpixel generation
on optical images and showed promising performance. Several studies have been …

The mean shift algorithm has been shown to perform well in optical image segmentation.
However, the conventional mean shift algorithm performs poorly if it is directly used with …