Results 171 to 180 of about 5,464 (214)
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River Ice Mapping from PolSAR Images
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008This 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.
S. Mermoz +3 more
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Superpixel-based PolSAR images change detection
2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2015Previous polarimetric synthetic aperture radar (PolSAR) images change detection methods are generally undertaken in the pixel scale, resulting in overlooking the semantic information. To solve this problem, this paper presents a superpixel-based PolSAR images change detection methods.
Lei Xie +4 more
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Online Semisupervised Active Classification for Multiview PolSAR Data
IEEE Transactions on Cybernetics, 2022Polarimetric synthetic aperture radar (PolSAR) data are sequentially acquired and have multiple views obtained from different feature extractors or multiple frequency bands. The fast and accurate classification of PolSAR data in dynamically changing environments is a critical and challenging task.
Xiangli Nie +5 more
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An evaluation of PolSAR speckle filters
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009Speckle suppression in PolSAR images is an important step for the extraction of meaningful information from PolSAR images, especially for homogeneous extended targets. It has been shown that insufficient noise filtering resulting in low equivalent number of look (ENL) values will increase bias on incoherent polarimetric parameters such as the Cloude ...
Samuel Foucher, Carlos Lopez-Martinez
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Analysis of non-Gaussian POLSAR data
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007In this paper we present a generalised 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 modelling POLSAR data.
Anthony Doulgeris +2 more
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Assessment of Model-Based Polsar Decompositions
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Model-based polarimetric decompositions are often used to generate scene classifications from polarimetric SAR imagery. The original Freeman-Durden model has been modified and improved upon multiple times over the past 2 decades. However, quantitative, in-depth analyses of these incoherent model-based decompositions have lagged in comparison.
Thomas L. Ainsworth +2 more
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The Influence of Distances in NLM Polsar Filters
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 20195112
Gomez-Deniz, L., Frery, A. C.
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PolSAR image denoising using directional diffusion
2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC), 2016We propose a novel directional diffusion method for denoising Polarimetric Synthetic Aperture Radar (PolSAR) images degraded by speckle noise. The method is developed using the Partial Differential Equations (PDE) formalism and it employs an edge detection function that takes as arguments the multiplicative gradient norm and locally adaptive thresholds.
Romulus Terebes +5 more
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PolSAR image classification using discriminative clustering
2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP), 2017This paper presents a novel unsupervised image classification method for polarimetric synthetic aperture radar (PolSAR) data. The proposed method is based on a discriminative clustering framework that explicitly relies on a discriminative supervised classification technique to perform unsupervised clustering. To implement this idea, we design an energy
Haixia Bi, Jian Sun, Zongben Xu
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Polsar Speckle Filtering Using Iterative MMSE
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018In 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 +2 more
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