Results 171 to 180 of about 3,144 (202)

River Ice Mapping from PolSAR Images

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
This paper presents different mapping algorithms to discriminate river ice types using full-polarized C-band and dual-polarized X-band data. Field data are conjointly used with an electromagnetic river ice model to simulate backscattering response of river ice. Finally different classifications, proposed and tested, show encouraging results.
Stephane Mermoz, Sophie Allain, Monique Bernier, Eric Pottier   +3 more
openaire   +1 more source

Classification With a Non-Gaussian Model for PolSAR Data

IEEE Transactions on Geoscience and Remote Sensing, 2008
In this paper, we present a generalized Wishart classifier derived from a non-Gaussian model for polarimetric synthetic aperture radar (PolSAR) data. Our starting point is to demonstrate that the scale mixture of Gaussian (SMoG) distribution model is suitable for modeling PolSAR data.
Anthony Paul Doulgeris, Stian Normann Anfinsen, Torbjørn Eltoft   +2 more
openaire   +1 more source

Riemannian sparse coding for classification of PolSAR images

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Hermitian positive definite (HPD) covariance matrices form one of the most widely-used data representations in PolSAR applications. However, most of these applications either use statistical distribution models on the PolSAR covariance matrices or polarimetric target decomposition. In this paper, we study HPD matrices for PolSAR image classification in
Wen Yang 0001, Neng Zhong, Xiangli Yang, Anoop Cherian   +3 more
openaire   +2 more sources

PolSAR-SSN: An End-to-End Superpixel Sampling Network for PolSAR Image Classification

IEEE Geoscience and Remote Sensing Letters, 2022
Lei Wang, Hanyu Hong, Yaozong Zhang, Jinmeng Wu, Lei Ma, Yin Zhu   +5 more
openaire   +1 more source

Model-Based Polsar Decompositions: Virtues and Vices

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Model-based polarimetric decompositions have long been applied to classify polarimetric SAR imagery. This long and successful history has, at times, been interrupted by nagging issues: polarimetric orientation angle effects, negative scattering powers, simplistic scattering models, etc.
Thomas L. Ainsworth, Jong-Sen Lee, Yanting Wang   +2 more
openaire   +2 more sources

Polsar Speckle Filtering Using Iterative MMSE

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
In this paper, we extend the use of the synthetic aperture radar (SAR) iterative minimum mean square error (IMMSE) technique to polarimetric SAR (Po1SAR) speckle filtering. Experimental results prove that the proposed approach especially reduces speckle in the extended homogenous areas and, meanwhile, better preserves the spatial details and the ...
Tej-Albaha Alhamrouni, Mohamed Yahia, Riadh Abdelfattah   +2 more
openaire   +1 more source

Model-based statistical analysis of PolSAR data

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
In this paper, we consider statistical analysis of PolSAR data in the framework of the multivariate product model. The complex scattering vector is here considered as a double stochastic circular Gaussian variable, in which the variance is linearly scaled by a common stochastic scaling factor z. The scaling factor is associated with texture. We discuss
Torbjørn Eltoft, Anthony Paul Doulgeris, Stian Normann Anfinsen   +2 more
openaire   +2 more sources

Analysis of textured PolSAR data by shannon entropy

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
The Shannon entropy has previously been used in the analysis of polarimetric synthetic aperture radar (PolSAR) data, assuming a complex Gaussian distribution for the scattering vector. According to the maximum entropy characterization theorem, the deviation from Gaussian statistics can be quantified as a reduction of the Shannon entropy.
Torbjørn Eltoft, Anthony Paul Doulgeris, Stian Normann Anfinsen   +2 more
openaire   +1 more source

On MMSE Speckle Filtering of Polsar Images

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Mohamed Yahia, Tarig Ali, Mohammad Maruf Mortula, Riadh Abdelfattah   +3 more
openaire   +1 more source

Span Statistics and Their Impacts on PolSAR Applications

IEEE Geoscience and Remote Sensing Letters, 2022
Mohamed Yahia, Tarig Ali, Mohammad Maruf Mortula   +2 more
openaire   +1 more source