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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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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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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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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Risks of Classification of the Gaussian Markov Random Field Observations

Journal of Classification ◽

10.1007/s00357-018-9269-7 ◽

2018 ◽

Vol 35 (3) ◽

pp. 422-436 ◽

Author(s):

Kęstutis Dučinskas ◽

Lina Dreižienė

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Observations ◽

Gaussian Markov Random Field ◽

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Markov random field terrain classification of large-scale 3D maps

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014) ◽

10.1109/robio.2014.7090625 ◽

2014 ◽

Author(s):

Marcel Haselich ◽

Benedikt Jobgen ◽

Frank Neuhaus ◽

Dagmar Lang ◽

Dietrich Paulus

Keyword(s):

Random Field ◽

Markov Random Field ◽

Large Scale ◽

Terrain Classification ◽

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Superpixel-based Markov random field for classification of hyperspectral images

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6723581 ◽

2013 ◽

Author(s):

Shanshan Li ◽

Xiuping Jia ◽

Bing Zhang

Keyword(s):

Random Field ◽

Markov Random Field ◽

Hyperspectral Images ◽

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Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor

Computer Vision and Image Understanding ◽

10.1006/cviu.2000.0844 ◽

2000 ◽

Vol 79 (1) ◽

pp. 4-24 ◽

Author(s):

M. Mignotte ◽

C. Collet ◽

P. Pérez ◽

P. Bouthemy

Keyword(s):

Fuzzy Logic ◽

Random Field ◽

Markov Random Field ◽

Logic Modeling ◽

Fuzzy Logic Modeling ◽

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Segmentation of LANDSAT TM image using the Markov random field model toward a category classification of higher accuracy

10.1117/12.578405 ◽

2005 ◽

Author(s):

Shuji Kawaguchi ◽

Kensuke Yamazaki

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Random Field Model ◽

Markov Random Field Model ◽

Landsat Tm Image ◽

Tm Image ◽

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