Hyperspectral Image Classification With Deep Metric Learning and Conditional Random Field

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2019.2939356 ◽

2020 ◽

Vol 17 (6) ◽

pp. 1042-1046 ◽

Author(s):

Yi Liang ◽

Xin Zhao ◽

Alan J. X. Guo ◽

Fei Zhu

Keyword(s):

Random Field ◽

Image Classification ◽

Hyperspectral Image ◽

Conditional Random Field ◽

Metric Learning ◽

Hyperspectral Image Classification ◽

Deep Metric Learning

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SLCRF: Subspace Learning With Conditional Random Field for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3011429 ◽

2020 ◽

pp. 1-15

Author(s):

Yun Cao ◽

Jie Mei ◽

Yuebin Wang ◽

Liqiang Zhang ◽

Junhuan Peng ◽

...

Keyword(s):

Random Field ◽

Image Classification ◽

Hyperspectral Image ◽

Conditional Random Field ◽

Subspace Learning ◽

Hyperspectral Image Classification

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Hyperspectral Image Classification Based on Dense Convolution and Conditional Random Field

10.1109/igarss47720.2021.9554062 ◽

2021 ◽

Author(s):

Chunhui Zhao ◽

Boao Qin ◽

Tong Li ◽

Shou Feng ◽

Yiming Yan

Keyword(s):

Random Field ◽

Image Classification ◽

Hyperspectral Image ◽

Conditional Random Field ◽

Hyperspectral Image Classification

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Hyperspectral Image Classification Using Extreme Learning Machine and Conditional Random Field

Adaptation, Learning, and Optimization - Extreme Learning Machines 2013: Algorithms and Applications ◽

10.1007/978-3-319-04741-6_12 ◽

2014 ◽

pp. 167-178

Author(s):

Yanyan Zhang ◽

Lu Yu ◽

Dong Li ◽

Zhisong Pan

Keyword(s):

Random Field ◽

Image Classification ◽

Extreme Learning Machine ◽

Hyperspectral Image ◽

Conditional Random Field ◽

Hyperspectral Image Classification ◽

Learning Machine

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Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2867679 ◽

2019 ◽

Vol 57 (3) ◽

pp. 1612-1628 ◽

Author(s):

Fahim Irfan Alam ◽

Jun Zhou ◽

Alan Wee-Chung Liew ◽

Xiuping Jia ◽

Jocelyn Chanussot ◽

...

Keyword(s):

Random Field ◽

Image Classification ◽

Hyperspectral Image ◽

Conditional Random Field ◽

Feature Learning ◽

Hyperspectral Image Classification ◽

Deep Feature ◽

Deep Feature Learning

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Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2019.2946318 ◽

2020 ◽

Vol 58 (2) ◽

pp. 1422-1435 ◽

Author(s):

Bin Deng ◽

Sen Jia ◽

Daming Shi

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Metric Learning ◽

Hyperspectral Image Classification ◽

Deep Metric Learning

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Integration of 3-Dimensional-Convolutional Neural Network and Markov Random Field for Hyperspectral Image Classification

10.1109/ictai53825.2021.9673403 ◽

2021 ◽

Author(s):

M Preethi ◽

C. Velayutham ◽

S. Arumugaperumal

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Random Field ◽

Image Classification ◽

Markov Random Field ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

3 Dimensional ◽

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Semi-supervised hyperspectral image classification based on a Markov random field and sparse multinomial logistic regression

2009 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2009.5417892 ◽

2009 ◽

Author(s):

Jun Li ◽

Jose M. Bioucas-Dias ◽

Antonio Plaza

Keyword(s):

Logistic Regression ◽

Random Field ◽

Image Classification ◽

Markov Random Field ◽

Hyperspectral Image ◽

Multinomial Logistic Regression ◽

Hyperspectral Image Classification ◽

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Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework

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

10.1109/jstars.2017.2657600 ◽

2017 ◽

Vol 10 (5) ◽

pp. 1987-2001 ◽

Author(s):

Huiwu Luo ◽

Yuan Yan Tang ◽

Yulong Wang ◽

Jianzhong Wang ◽

Robert P. Biuk-Aghai ◽

...

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Metric Learning ◽

Hyperspectral Image Classification ◽

One Dimensional

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Combining active and metric learning for hyperspectral image classification

2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2014.8077529 ◽

2014 ◽

Author(s):

Edoardo Pasolli ◽

Hsiuhan Lexie Yang ◽

Melba M. Crawford

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Metric Learning ◽

Hyperspectral Image Classification

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Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification

Neurocomputing ◽

10.1016/j.neucom.2016.11.034 ◽

2017 ◽

Vol 226 ◽

pp. 90-100 ◽

Author(s):

Xiangyong Cao ◽

Lin Xu ◽

Deyu Meng ◽

Qian Zhao ◽

Zongben Xu

Keyword(s):

Wavelet Transform ◽

Random Field ◽

Discrete Wavelet Transform ◽

Image Classification ◽

Markov Random Field ◽

Hyperspectral Image ◽

Discrete Wavelet ◽

Hyperspectral Image Classification ◽

3 Dimensional ◽

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