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Classification of 10 m-resolution SPOT data using a combined Bayesian Network Classifier-shape adaptive neighborhood method

机译：使用组合贝叶斯网络分类器形状自适应邻域方法对10 m分辨率SPOT数据进行分类

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Yang Jingxue; Wang Yunpeng;
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年度 2012
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1. Classification of 10 m-resolution SPOT data using a combined Bayesian Network Classifier-shape adaptive neighborhood method [J] . Jingxue Yang, Yunpeng Wang ISPRS Journal of Photogrammetry and Remote Sensing . 2012,第AUGa期

机译：使用组合贝叶斯网络分类器形状自适应邻域方法对10 m分辨率SPOT数据进行分类
2. USING SVM TO COMBINE BAYESIAN NETWORKS FOR EDUCATIONAL TEST DATA CLASSIFICATION [J] . Yen-Chun Tseng, Chih-Wei Yang, Bor-Chen Kuo International Journal of Innovative Computing Information and Control . 2016,第5期

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3. Intelligent detection method for abnormal big data in heterogeneous networks based on Bayesian classification [J] . Liu Ruijing, Luo Xiaoting Web Intelligence . 2020,第2期

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4. A Bayesian Approach to FDD Combining Two Different Bayesian Networks Modeling a Data-Driven Method and a Model-based Method [C] . Mohamed Amine Atoui, Sylvain Verron, Abdessamad Kobi International Conference on Informatics in Control, Automation and Robotics . 2013

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5. Development of a combined GIS, neural network and Bayesian classifier methodology for classifying remotely sensed data. [D] . Schneider, Claudio Albert. 2002

机译：结合了GIS，神经网络和贝叶斯分类器方法，对遥感数据进行分类。
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Classification of 10 m-resolution SPOT data using a combined Bayesian Network Classifier-shape adaptive neighborhood method

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