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 …

Distance measure plays a critical role in various applications of polarimetric synthetic
aperture radar (PolSAR) image data. In recent decades, plenty of distance measures have …

Polarimetric synthetic aperture radar (PolSAR) image classification, an important technique
in the remote sensing area, has been deeply studied for a couple of decades. In order to …

A new approach for segmentation and classification of polarimetric synthetic aperture radar
(POLSAR) data is proposed based on spectral graph partitioning. Since automated analysis …

In this paper, we propose to use a matrix-variate Mellin transform in the statistical analysis of
multilook polarimetric radar data. The domain of the transform integral is the cone of …

This paper proposes a novel contextual method for classification of polarimetric synthetic
aperture radar data. The method combines support vector machine (SVM) and Wishart …

Synthetic aperture radar (SAR) image classification is a fundamental process for SAR image
understanding and interpretation. With the advancement of imaging techniques, it permits to …

In this paper, heterogeneous clutter models are used to describe polarimetric synthetic
aperture radar (PolSAR) data. The KummerU distribution is introduced to model the PolSAR …

Although graph convolutional networks have found application in polarimetric synthetic
aperture radar (PolSAR) image classification tasks, the available approaches cannot …

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