Classification of very high resolution SAR images of urban areas by dictionary-based mixture models, copulas, and Markov random fields using textural features

Mapping Intimacies ◽

10.1117/12.865023 ◽

2010 ◽

Cited By ~ 1

Author(s):

Aurélie Voisin ◽

Gabriele Moser ◽

Vladimir A. Krylov ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

High Resolution ◽

Mixture Models ◽

Random Fields ◽

Urban Areas ◽

Markov Random Fields ◽

Textural Features ◽

Sar Images ◽

Markov Random ◽

Very High

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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 ◽

Cited By ~ 40

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 ◽

Sar Images ◽

Markov Random Field Model ◽

Markov Random ◽

Very High

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Unsupervised change detection with very high-resolution SAR images by multiscale analysis and Markov random fields

2010 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2010.5652435 ◽

2010 ◽

Cited By ~ 3

Author(s):

Gabriele Moser ◽

Sebastiano B. Serpico

Keyword(s):

High Resolution ◽

Change Detection ◽

Random Fields ◽

Multiscale Analysis ◽

Markov Random Fields ◽

Sar Images ◽

Markov Random ◽

Very High

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Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127432 ◽

2017 ◽

Cited By ~ 2

Author(s):

Carolyne Danilla ◽

Claudio Persello ◽

Valentyn Tolpekin ◽

John Ray Bergado

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Sar Images ◽

Markov Random

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Unsupervised change detection with high-resolution SAR images by edge-preserving Markov random fields and graph-cuts

2012 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2012.6351112 ◽

2012 ◽

Cited By ~ 3

Author(s):

Gabriele Moser ◽

Sebastiano B. Serpico

Keyword(s):

High Resolution ◽

Change Detection ◽

Random Fields ◽

Markov Random Fields ◽

Graph Cuts ◽

Sar Images ◽

Edge Preserving ◽

Markov Random

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Classification of Polarimetric SAR Images Based on Combining Support Vector Machine Classifier and Markov Random Fields

Journal of Geospatial Information Technology ◽

10.29252/jgit.3.4.1 ◽

2016 ◽

Vol 3 (4) ◽

pp. 1-18

Author(s):

Ali Masjedi ◽

Yasser Maghsoudi ◽

Mohamad Javad Valadan Zoej ◽

◽

...

Keyword(s):

Support Vector Machine ◽

Random Fields ◽

Markov Random Fields ◽

Support Vector Machine Classifier ◽

Support Vector ◽

Polarimetric Sar ◽

Sar Images ◽

Markov Random

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Multitemporal region-based classification of high-resolution images by Markov random fields and multiscale segmentation

2011 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2011.6048908 ◽

2011 ◽

Cited By ~ 5

Author(s):

Gabriele Moser ◽

Sebastiano B. Serpico

Keyword(s):

High Resolution ◽

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Multiscale Segmentation ◽

High Resolution Images

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Hierarchical Markov Random Fields for High Resolution Land Cover Classification of Multisensor and Multiresolution Image Time Series

10.1002/9781119882299.ch1 ◽

2021 ◽

pp. 1-32

Author(s):

Ihsen Hedhli ◽

Gabriele Moser ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

Time Series ◽

High Resolution ◽

Land Cover ◽

Random Fields ◽

Markov Random Fields ◽

Land Cover Classification ◽

Markov Random ◽

Multiresolution Image

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Unsupervised Classification of SAR Images Using Markov Random Fields and ${\cal G}_{I}^{0}$ Model

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2010.2073678 ◽

2011 ◽

Vol 8 (2) ◽

pp. 350-353 ◽

Cited By ~ 15

Author(s):

Mery Picco ◽

Gabriela Palacio

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Unsupervised Classification ◽

Sar Images ◽

Markov Random

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Spectral-spatial classification of hyperspectral images using wavelet transform and hidden Markov random fields

Geocarto International ◽

10.1080/10106049.2017.1303087 ◽

2017 ◽

Vol 33 (8) ◽

pp. 771-790 ◽

Cited By ~ 4

Author(s):

Elham Kordi Ghasrodashti ◽

Mohammad Sadegh Helfroush ◽

Habibollah Danyali

Keyword(s):

Wavelet Transform ◽

Random Fields ◽

Markov Random Fields ◽

Hidden Markov ◽

Hyperspectral Images ◽

Spatial Classification ◽

Markov Random

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Wavelet-Based Despeckling of SAR Images Using Gauss–Markov Random Fields

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2007.906093 ◽

2007 ◽

Vol 45 (12) ◽

pp. 4127-4143 ◽

Cited By ~ 42

Author(s):

Dusan Gleich ◽

Mihai Datcu

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Sar Images ◽

Markov Random ◽

Gauss Markov Random Fields

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