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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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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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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Change Detection Using High Resolution Remote Sensing Images Based on Active Learning and Markov Random Fields

Remote Sensing ◽

10.3390/rs9121233 ◽

2017 ◽

Vol 9 (12) ◽

pp. 1233 ◽

Author(s):

Huai Yu ◽

Wen Yang ◽

Guang Hua ◽

Hui Ru ◽

Pingping Huang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Active Learning ◽

Change Detection ◽

Random Fields ◽

Markov Random Fields ◽

Remote Sensing Images ◽

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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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Research on Object Oriented Algorithm for Road Extraction in High-Resolution Remote Sensing Image

Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering ◽

10.1145/3386415.3386963 ◽

2019 ◽

Author(s):

Yuan Fang ◽

Qifeng Che

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Object Oriented ◽

Remote Sensing Image ◽

Road Extraction

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High-Order Markov Random Field as Attention Network for High-Resolution Remote-Sensing Image Compression

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3075956 ◽

2021 ◽

pp. 1-14

Author(s):

Yanwen Chong ◽

Liang Zhai ◽

Shaoming Pan

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Image Compression ◽

Random Field ◽

Markov Random Field ◽

Remote Sensing Image ◽

Attention Network ◽

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Cascaded panoptic segmentation method for high resolution remote sensing image

Applied Soft Computing ◽

10.1016/j.asoc.2021.107515 ◽

2021 ◽

pp. 107515

Author(s):

Xia Hua ◽

Xinqing Wang ◽

Ting Rui ◽

Faming Shao ◽

Dong Wang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Remote Sensing Image ◽

Segmentation Method

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HIGH-RESOLUTION REMOTE SENSING IMAGE SEGMENTATION METHOD BASED ON SReLU

International Journal of Robotics and Automation ◽

10.2316/j.2019.206-0134 ◽

2019 ◽

Vol 34 (3) ◽

Author(s):

Chenming Li ◽

Xiaoyu Qu ◽

Yao Yang ◽

Hongmin Gao ◽

Yongchang Wang ◽

...

Keyword(s):

Remote Sensing ◽

Image Segmentation ◽

High Resolution ◽

Remote Sensing Image ◽

Segmentation Method

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