Statistical Classification for Heterogeneous Polarimetric SAR Images
, 2011 International audienceThis paper presents a general approach for high-resolution polarimetric SAR data classification in heterogeneous clutter, based on a statistical test of equality of covariance matrices. The Spherically Invariant Random Vector (SIRV)
Ferro-Famil, Laurent +4 more
core +3 more sources
Semi-supervised classification of polarimetric SAR images using Markov random field and two-level Wishart mixture model [PDF]
, 2019 In this work, we propose a semi-supervised method for classification of polarimetric synthetic aperture radar (PolSAR) images. In the proposed method, a 2-level mixture model is constructed by associating each component density with a unique Wishart ...
Li, Heng-Chao +4 more
core +1 more source
Estimation of the normalized coherency matrix through the SIRV model. Application to high resolution POLSAR data [PDF]
, 2009 8 pagesInternational audienceIn the context of non-Gaussian polarimetric clutter models, this paper presents an application of the recent advances in the field of Spherically Invariant Random Vectors (SIRV) modelling for coherency matrix estimation in ...
Gay, Michel +3 more
core +2 more sources
Robust Classification of PolSAR Images Based on Pinball loss Support Vector Machine
Leida xuebao, 2019 Given the problems that the amount of supervised information in the Polarimetric Synthetic Aperture Radar (PolSAR) image is low and the speckle noise is difficult to eliminate, in this study, a robust classification algorithm for PolSAR image based on ...
ZHANG Lamei +3 more
doaj +1 more source
Evaluación de la degradación de la tierra usando la entropía de shannon sobre imágenes polarimétricas en desiertos costeros Patagónicos [PDF]
, 2013 En esta investigación se focalizó en la Entropía de Shannon (ES) para la caracterización de imágenes polarimétricas de apertura sintética. Este parámetro analiza la contribución de la información por pixeles individuales para toda la imagen en la ...
Blanco, Paula Daniela +3 more
core +1 more source
On the Extension of the Product Model in Polsar Processing for Unsupervised Classification Using Information Geometry of Covariance Matrices [PDF]
, 2011 International audienceWe discuss in the paper the use of the Riemannian mean given by the differential geometric tools. This geometric mean is used in this paper for computing the centers of class in the polarimetric H/α unsupervised classification ...
Ferro-Famil, Laurent +4 more
core +3 more sources
Remote SensingMachine learning and deep neural networks have shown satisfactory performance in the supervised classification of Polarimetric Synthetic Aperture Radar (PolSAR) images. However, the PolSAR image classification task still faces some challenges. First, the
Zehua Wang +3 more
doaj +1 more source
Superpixel-Based Classification Using K Distribution and Spatial Context for Polarimetric SAR Images
Remote Sensing, 2016 Classification techniques play an important role in the analysis of polarimetric synthetic aperture radar (PolSAR) images. PolSAR image classification is widely used in the fields of information extraction and scene interpretation or is performed as a ...
Qiao Xu +3 more
doaj +1 more source
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine [PDF]
, 2019 Xu Liu +3 more
openalex +1 more source
Context-Based Max-Margin for PolSAR Image Classification
IEEE Access, 2017 Context-based method for classification has been successfully applied in image. However, most of these classifiers work in stages. This paper presents a novel discriminative model named context-based max-margin to perform the task of classification for polarimetric synthetic aperture radar (PolSAR) images.
Shuyin Zhang +5 more
openaire +2 more sources