Satellite remote sensing image super resolution based on markov random fields

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

10.1109/igarss.2016.7730892 ◽

2016 ◽

Author(s):

Zhi-Zhong Wang ◽

Qing-Jun Zhang ◽

Xiao-Lei Han

Keyword(s):

Remote Sensing ◽

Random Fields ◽

Satellite Remote Sensing ◽

Markov Random Fields ◽

Super Resolution ◽

Remote Sensing Image ◽

Markov Random ◽

Image Super Resolution

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A novel segmentation method of high resolution remote sensing image based on object-oriented Markov random fields model

10.1117/12.912791 ◽

2011 ◽

Author(s):

Liang Hong ◽

Xianchun Pan ◽

Zhaozhong Gao ◽

Kun Yang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Random Fields ◽

Markov Random Fields ◽

Object Oriented ◽

Remote Sensing Image ◽

Segmentation Method ◽

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Segmentation of high resolution remote sensing image based on hierarchically multiscale object-oriented Markov random fields model

Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services ◽

10.1109/icsdm.2011.5969060 ◽

2011 ◽

Author(s):

Liang Hong ◽

Zhaozhong Gao ◽

Xianchun Pan ◽

Kun Yang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Random Fields ◽

Markov Random Fields ◽

Object Oriented ◽

Remote Sensing Image ◽

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A novel segmentation method of high resolution remote sensing image based on multi-feature object-oriented Markov random fields model

2011 International Conference on Remote Sensing, Environment and Transportation Engineering ◽

10.1109/rsete.2011.5964014 ◽

2011 ◽

Author(s):

Liang Hong ◽

Kun Yang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Random Fields ◽

Markov Random Fields ◽

Object Oriented ◽

Remote Sensing Image ◽

Segmentation Method ◽

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Contextual remote-sensing image classification by support vector machines and Markov random fields

2010 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2010.5651182 ◽

2010 ◽

Author(s):

Gabriele Moser ◽

Sebastiano B. Serpico

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Remote Sensing Image ◽

Support Vector ◽

Markov Random ◽

Remote Sensing Image Classification ◽

Vector Machines

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Contextual remote-sensing image classification through support vector machines, Markov random fields and graph cuts

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6947292 ◽

2014 ◽

Author(s):

Andrea De Giorgi ◽

Gabriele Moser ◽

Sebastiano B. Serpico

Keyword(s):

Remote Sensing ◽

Support Vector Machines ◽

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Remote Sensing Image ◽

Support Vector ◽

Markov Random ◽

Remote Sensing Image Classification ◽

Vector Machines

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Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3009918 ◽

2020 ◽

pp. 1-14 ◽

Author(s):

Dongyang Zhang ◽

Jie Shao ◽

Xinyao Li ◽

Heng Tao Shen

Keyword(s):

Remote Sensing ◽

Super Resolution ◽

Remote Sensing Image ◽

Attention Network ◽

Image Super Resolution

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Transformer-based Multi-Stage Enhancement for Remote Sensing Image Super-Resolution

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3136190 ◽

2021 ◽

pp. 1-1

Author(s):

Sen Lei ◽

Zhenwei Shi ◽

Wenjing Mo

Keyword(s):

Remote Sensing ◽

Super Resolution ◽

Remote Sensing Image ◽

Multi Stage ◽

Image Super Resolution

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Remote Sensing Image Super-Resolution Using Residual Dense Network

Advances in Intelligent Systems and Computing - Soft Computing and Signal Processing ◽

10.1007/978-981-15-2475-2_66 ◽

2020 ◽

pp. 721-729

Author(s):

Abhijith Jayanarayan ◽

V. Sowmya ◽

K. P. Soman

Keyword(s):

Remote Sensing ◽

Super Resolution ◽

Remote Sensing Image ◽

Dense Network ◽

Image Super Resolution

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Zero-Shot Remote Sensing Image Super-Resolution Based on Image Continuity and Self Tessellations

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-030-92659-5_42 ◽

2021 ◽

pp. 649-662

Author(s):

Rupak Bose ◽

Vikrant Rangnekar ◽

Biplab Banerjee ◽

Subhasis Chaudhuri

Keyword(s):

Remote Sensing ◽

Super Resolution ◽

Remote Sensing Image ◽

Image Super Resolution

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Stacked lossless deconvolutional network for remote sensing image super-resolution

Image and Signal Processing for Remote Sensing XXV ◽

10.1117/12.2532229 ◽

2019 ◽

Author(s):

Changyeop Shin ◽

Minbeom Kim ◽

Sungho Kim ◽

Youngjung Kim

Keyword(s):

Remote Sensing ◽

Super Resolution ◽

Remote Sensing Image ◽

Image Super Resolution

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