Adaptive Edge Preserving Maps in Markov Random Fields for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3035642 ◽

2020 ◽

pp. 1-16

Author(s):

Chao Pan ◽

Xiuping Jia ◽

Jie Li ◽

Xinbo Gao

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Edge Preserving ◽

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Parallel probabilistic relaxation labelling based on Markov random fields for spectral-spatial hyperspectral image classification

International Journal of Remote Sensing ◽

10.1080/01431161.2016.1210837 ◽

2016 ◽

Vol 37 (18) ◽

pp. 4356-4379 ◽

Author(s):

Brajesh Kumar ◽

Onkar Dikshit

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Markov Random ◽

Probabilistic Relaxation

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Hyperspectral image classification based on spectral-spatial features using probabilistic SVM and locally weighted Markov Random Fields

2014 Iranian Conference on Intelligent Systems (ICIS) ◽

10.1109/iraniancis.2014.6802573 ◽

2014 ◽

Author(s):

Mostafa Borhani ◽

Hassn Ghassemian

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Spatial Features ◽

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Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields

Remote Sensing ◽

10.3390/rs8040355 ◽

2016 ◽

Vol 8 (4) ◽

pp. 355 ◽

Author(s):

Haoyang Yu ◽

Lianru Gao ◽

Jun Li ◽

Shan Li ◽

Bing Zhang ◽

...

Keyword(s):

Support Vector Machines ◽

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Support Vector ◽

Hyperspectral Image Classification ◽

Markov Random ◽

Vector Machines

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Hyperspectral Image Classification Using Gaussian Mixture Models and Markov Random Fields

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2013.2250905 ◽

2014 ◽

Vol 11 (1) ◽

pp. 153-157 ◽

Author(s):

Wei Li ◽

Saurabh Prasad ◽

James E. Fowler

Keyword(s):

Image Classification ◽

Mixture Models ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Hyperspectral Image Classification ◽

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GPU implementation of hyperspectral image classification based on weighted Markov random fields

2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2016.8071791 ◽

2016 ◽

Author(s):

Zebin Wu ◽

Qicong Wang ◽

Antonio Plaza ◽

Jun Li ◽

Jie Wei ◽

...

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Markov Random ◽

Gpu Implementation

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Hyperspectral Image Classification With CapsNet and Markov Random Fields

IEEE Access ◽

10.1109/access.2020.3029174 ◽

2020 ◽

Vol 8 ◽

pp. 191956-191968

Author(s):

Xuefeng Jiang ◽

Yue Zhang ◽

Wenbo Liu ◽

Junyu Gao ◽

Junrui Liu ◽

...

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

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Parallel Spatial–Spectral Hyperspectral Image Classification With Sparse Representation and Markov Random Fields on GPUs

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

10.1109/jstars.2015.2413931 ◽

2015 ◽

Vol 8 (6) ◽

pp. 2926-2938 ◽

Author(s):

Zebin Wu ◽

Qicong Wang ◽

Antonio Plaza ◽

Jun Li ◽

Le Sun ◽

...

Keyword(s):

Sparse Representation ◽

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

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Spectral–Spatial Hyperspectral Image Classification Using Cascaded Markov Random Fields

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

10.1109/jstars.2019.2938208 ◽

2019 ◽

Vol 12 (12) ◽

pp. 4861-4872 ◽

Author(s):

Xianghai Cao ◽

Xiaozhen Wang ◽

Da Wang ◽

Jing Zhao ◽

Licheng Jiao

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

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Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2874077 ◽

2019 ◽

Vol 57 (5) ◽

pp. 2520-2534 ◽

Author(s):

Chao Pan ◽

Xinbo Gao ◽

Ying Wang ◽

Jie Li

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Spectral Similarity ◽

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Supervised Spectral–Spatial Hyperspectral Image Classification With Weighted Markov Random Fields

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2014.2344442 ◽

2015 ◽

Vol 53 (3) ◽

pp. 1490-1503 ◽

Author(s):

Le Sun ◽

Zebin Wu ◽

Jianjun Liu ◽

Liang Xiao ◽

Zhihui Wei

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

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