Semi-Supervised Classification of Polarimetric SAR Images Using Markov Random Field and Two-Level Wishart Mixture Model

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8898985 ◽

2019 ◽

Author(s):

Chi Liu ◽

Wenzhi Liao ◽

Heng-Chao Li ◽

Rui Wang ◽

Wilfried Philips

Keyword(s):

Random Field ◽

Mixture Model ◽

Markov Random Field ◽

Supervised Classification ◽

Polarimetric Sar ◽

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Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2012.2193869 ◽

2013 ◽

Vol 10 (1) ◽

pp. 96-100 ◽

Author(s):

Aurelie Voisin ◽

Vladimir A. Krylov ◽

Gabriele Moser ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

High Resolution ◽

Random Field ◽

Markov Random Field ◽

Urban Areas ◽

Field Model ◽

Markov Random Field Model ◽

Markov Random ◽

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Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach

Proceedings of the 5th Multidisciplinary International Social Networks Conference on - MISNC '18 ◽

10.1145/3227696.3227712 ◽

2018 ◽

Author(s):

Nour El-Mawass ◽

Paul Honeine ◽

Laurent Vercouter

Keyword(s):

Random Field ◽

Markov Random Field ◽

Supervised Classification ◽

Field Approach ◽

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Initialization of Markov random field clustering of large polarimetric SAR images

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 ◽

10.1109/igarss.2004.1369130 ◽

2004 ◽

Author(s):

Ron Wehrens Thanh N. Tran

Keyword(s):

Random Field ◽

Markov Random Field ◽

Polarimetric Sar ◽

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An unsupervised hidden Markov random field based segmentation of polarimetric SAR images

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2016.7729392 ◽

2016 ◽

Author(s):

Biplab Banerjee ◽

Shaunak De ◽

Surendar Manickam ◽

Avik Bhattacharya

Keyword(s):

Random Field ◽

Markov Random Field ◽

Hidden Markov ◽

Polarimetric Sar ◽

Markov Random ◽

Hidden Markov Random Field

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Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2018.2858008 ◽

2018 ◽

Vol 11 (9) ◽

pp. 3325-3337 ◽

Author(s):

Yuan Fang ◽

Linlin Xu ◽

Junhuan Peng ◽

Honglei Yang ◽

Alexander Wong ◽

...

Keyword(s):

Random Field ◽

Mixture Model ◽

Markov Random Field ◽

Hyperspectral Image ◽

Bayesian Classification ◽

Markov Random ◽

Spectral Mixture

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Unsupervised and supervised classification of hyperspectral imaging data using projection pursuit and Markov random field segmentation

International Journal of Remote Sensing ◽

10.1080/01431161.2012.670959 ◽

2012 ◽

Vol 33 (18) ◽

pp. 5799-5818 ◽

Author(s):

A. Sarkar ◽

A. Vulimiri ◽

S. Paul ◽

Jawaid Iqbal ◽

A. Banerjee ◽

...

Keyword(s):

Random Field ◽

Hyperspectral Imaging ◽

Markov Random Field ◽

Supervised Classification ◽

Projection Pursuit ◽

Imaging Data ◽

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MR brain imaging segmentation based on spatial Gaussian mixture model and Markov random field

IEEE International Conference on Image Processing 2005 ◽

10.1109/icip.2005.1529750 ◽

2005 ◽

Author(s):

Zhigang Peng ◽

W. Wee ◽

Jing-Huei Lee

Keyword(s):

Random Field ◽

Brain Imaging ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Markov Random Field ◽

Gaussian Mixture ◽

Markov Random ◽

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Classification of rotated and scaled textured images using Gaussian Markov random field models

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.67648 ◽

1991 ◽

Vol 13 (2) ◽

pp. 192-202 ◽

Author(s):

F.S. Cohen ◽

Z. Fan ◽

M.A. Patel

Keyword(s):

Random Field ◽

Markov Random Field ◽

Gaussian Markov Random Field ◽

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Spectral-Spatial Classification of Hyperspectral Remote Sensing Images Using Minimum Spanning Forest and Markov Random Field Classifier

Journal of Environmental Science Computer Science and Engineering & Technology ◽

10.24214/jecet.a.10.4.67488 ◽

2021 ◽

Vol 10 (4) ◽

Keyword(s):

Remote Sensing ◽

Random Field ◽

Markov Random Field ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Spanning Forest ◽

Markov Random ◽

Minimum Spanning Forest ◽

Hyperspectral Remote Sensing Images

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Efficient Segmentation of SAR Images Using Markov Random Field Models with Edge Penalties and an Adaptive Weighting Parameter

Acta Optica Sinica ◽

10.3788/aos201333.0811004 ◽

2013 ◽

Vol 33 (8) ◽

pp. 0811004 ◽

Author(s):

贺飞跃 He Feiyue ◽

田铮 Tian Zheng ◽

付辉敬 Fu Huijing ◽

延伟东 Yan Weidong

Keyword(s):

Random Field ◽

Markov Random Field ◽

Adaptive Weighting ◽

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