Remote sensing image feature selection based on rough set theory and multi-agent system

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) ◽

10.1109/fskd.2015.7382028 ◽

2015 ◽

Author(s):

Jian Zhao ◽

Xin Pan

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Rough Set ◽

Rough Set Theory ◽

Remote Sensing Image ◽

Image Feature ◽

Multi Agent System ◽

Agent System ◽

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Remote sensing image feature selection based on α-torrent rough set theory

2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2010.5569580 ◽

2010 ◽

Author(s):

Xin Pan ◽

SuLi Zhang

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Rough Set ◽

Rough Set Theory ◽

Remote Sensing Image ◽

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A method of multi-agent system conflict analysis based on rough set theory

2005 IEEE International Conference on Granular Computing ◽

10.1109/grc.2005.1547262 ◽

2005 ◽

Author(s):

Xiangjun Li ◽

Shengfeng Tian ◽

Dayong Deng ◽

Jingnian Chen

Keyword(s):

Rough Set ◽

Rough Set Theory ◽

Conflict Analysis ◽

Multi Agent System ◽

Agent System ◽

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A MRF-based Multi-agent System for Remote Sensing Image Segmentation

2017 International Conference on Computing Intelligence and Information System (CIIS) ◽

10.1109/ciis.2017.44 ◽

2017 ◽

Author(s):

Huifang Bao ◽

Linli Zhou ◽

Lei Liu ◽

Yue Wu

Keyword(s):

Remote Sensing ◽

Image Segmentation ◽

Remote Sensing Image ◽

Multi Agent System ◽

Agent System ◽

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Multispectral remote sensing image classification algorithm based on rough set theory

2009 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2009.5346054 ◽

2009 ◽

Author(s):

Ying Wang ◽

Xiaoyun Liu ◽

Zhensong Wang ◽

Wufan Chen

Keyword(s):

Remote Sensing ◽

Image Classification ◽

Rough Set ◽

Rough Set Theory ◽

Remote Sensing Image ◽

Classification Algorithm ◽

Remote Sensing Image Classification ◽

Multispectral Remote Sensing

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The application of rough set theory in remote sensing image classification

2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT) ◽

10.1109/edt.2010.5496550 ◽

2010 ◽

Author(s):

Zheng Nan ◽

Li Haiyu ◽

Zhou Mai Yu

Keyword(s):

Remote Sensing ◽

Image Classification ◽

Rough Set ◽

Rough Set Theory ◽

Remote Sensing Image ◽

Remote Sensing Image Classification

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An application of tree species classification using high-resolution remote sensing image based on the rough set theory

Multimedia Tools and Applications ◽

10.1007/s11042-016-4210-8 ◽

2016 ◽

Vol 76 (21) ◽

pp. 22999-23015 ◽

Author(s):

Yi Zeng ◽

Shuang Wang ◽

Tianzhong Zhao ◽

Jing Wang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Rough Set ◽

Tree Species ◽

Rough Set Theory ◽

Remote Sensing Image ◽

Species Classification ◽

Tree Species Classification

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Remote Sensing Image Classification Algorithm Based on Rough Set Theory

Advances in Soft Computing - Fuzzy Information and Engineering ◽

10.1007/978-3-540-71441-5_92 ◽

2007 ◽

pp. 846-851 ◽

Author(s):

Guang-Jun Dong ◽

Yong-Sheng Zhang ◽

Yong-Hong Fan

Keyword(s):

Remote Sensing ◽

Image Classification ◽

Rough Set ◽

Rough Set Theory ◽

Remote Sensing Image ◽

Classification Algorithm ◽

Remote Sensing Image Classification

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Feature selection using rough set theory for object-oriented classification of remote sensing imagery

2012 20th International Conference on Geoinformatics ◽

10.1109/geoinformatics.2012.6270343 ◽

2012 ◽

Author(s):

Guifeng Zhang ◽

Lina Yi

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Rough Set ◽

Rough Set Theory ◽

Object Oriented ◽

Remote Sensing Imagery

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Efficient feature selection for inconsistent heterogeneous information systems based on a grey wolf optimizer and rough set theory

Soft Computing ◽

10.1007/s00500-021-06375-z ◽

2021 ◽

Author(s):

Ahmed Hamed ◽

Hamed Nassar

Keyword(s):

Feature Selection ◽

Information Systems ◽

Rough Set ◽

Rough Set Theory ◽

Grey Wolf Optimizer ◽

Grey Wolf ◽

Heterogeneous Information ◽

Selection For ◽

Heterogeneous Information Systems

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Redefining core preliminary concepts of classic Rough Set Theory for feature selection

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2017.08.003 ◽

2017 ◽

Vol 65 ◽

pp. 375-387 ◽

Author(s):

Muhammad Summair Raza ◽

Usman Qamar

Keyword(s):

Feature Selection ◽

Rough Set ◽

Rough Set Theory

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