Please wait a minute...
New Technology of Library and Information Service  2006, Vol. 1 Issue (5): 36-39    DOI: 10.11925/infotech.1003-3513.2006.05.09
Current Issue | Archive | Adv Search |
Remote Sensing Image Retrieval Based on Bayes Classification
Zhao Ying    Liu Jiajia
(Department of Information Management and Technology, School of Public Administration, Sichuan University, Chengdu 610064, China)
Export: BibTeX | EndNote (RIS)      

This paper demonstrate the method of how to map the primitive image features to the semantic interpretations of the image content, and how to implement interactive learning together with probabilistic search. Lastly, this paper introduces the concept of Ontology for the image retrieval.

Key wordsImage retrieval      Bayes classification      Bayesian Network      Ontology     
Received: 23 February 2006      Published: 25 May 2006


Corresponding Authors: Liu Jiajia     E-mail:
About author:: Zhao Ying,Liu Jiajia

Cite this article:

Zhao Ying,Liu Jiajia . Remote Sensing Image Retrieval Based on Bayes Classification. New Technology of Library and Information Service, 2006, 1(5): 36-39.

URL:     OR

2Mihai Datcu, Herbert Daschiel, Andrea Pelizzari, Marco Quartulli, Annalisa Galoppo, Andrea Colapicchioni, Marco Pastori, Klaus Seidel, Pier Giorgio Marchetti, and Sergio D'Elia. Information Mining in Remote Sensing Image Archives—Part A: System Concepts. IEEE Transactions on Geoscience and Remote Sensing,  December  2003
3Peter Stanchev.Using Image Mining for Image Retrieval. IASTED conf. Computer Science and Technology,May 19-21,2003 Cancum,Mexico,214-218
4Michael Schrder, Hubert Rehrauer, Klaus Seidel, and Mihai Datcu. Interactive Learning and Probabilistic Retrieval in Remote Sensing Image Archives. IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2288-2298

[1] Sheng Shu, Huang Qi, Yang Yang, Xie Qiwen, Qin Xinguo. Exchanging Chinese Medical Information Based on HL7 FHIR[J]. 数据分析与知识发现, 2021, 5(11): 13-28.
[2] Wu Shengnan, Pu Hongjun, Tian Ruonan, Liang Wenqi, Yu Qi. Network Structure’s Impacts on Link Prediction Algorithm from Meta-Analysis Perspective[J]. 数据分析与知识发现, 2021, 5(11): 102-113.
[3] Zeng Zhen,Li Gang,Mao Jin,Chen Jinghao. Data Governance and Domain Ontology of Regional Public Security[J]. 数据分析与知识发现, 2020, 4(9): 41-55.
[4] Xu Jianmin,Zhang Liqing,Wang Miao. Tracking Static Topics with Bayesian Network[J]. 数据分析与知识发现, 2020, 4(2/3): 200-206.
[5] Shaohua Qiang,Yunlu Luo,Yupeng Li,Peng Wu. Ontology Reasoning for Financial Affairs with RBR and CBR[J]. 数据分析与知识发现, 2019, 3(8): 94-104.
[6] Shiqi Deng,Liang Hong. Constructing Domain Ontology for Intelligent Applications: Case Study of Anti Tele-Fraud[J]. 数据分析与知识发现, 2019, 3(7): 73-84.
[7] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[8] Guangshang Gao. A Survey of User Profiles Methods[J]. 数据分析与知识发现, 2019, 3(3): 25-35.
[9] Ying Wang,Li Qian,Jing Xie,Zhijun Chang,Beibei Kong. Building Knowledge Graph with Sci-Tech Big Data[J]. 数据分析与知识发现, 2019, 3(1): 15-26.
[10] He Youshi,He Shufang. Sentiment Mining of Online Product Reviews Based on Domain Ontology[J]. 数据分析与知识发现, 2018, 2(8): 60-68.
[11] Tang Huihui,Wang Hao,Zhang Zixuan,Wang Xueying. Extracting Names of Historical Events Based on Chinese Character Tags[J]. 数据分析与知识发现, 2018, 2(7): 89-100.
[12] Pang Beibei,Gou Juanqiong,Mu Wenxin. Extracting Topics and Their Relationship from College Student Mentoring[J]. 数据分析与知识发现, 2018, 2(6): 92-101.
[13] Ding Shengchun,Liu Menglu,Fu Zhu. Unified Multidimensional Model Based on Knowledge Flow in Conceptual Design[J]. 数据分析与知识发现, 2018, 2(2): 11-19.
[14] Tu Haili,Tang Xiaobo. Building Product Recommendation Model Based on Tags[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
[15] Chen Erjing,Jiang Enbo. Review of Studies on Text Similarity Measures[J]. 数据分析与知识发现, 2017, 1(6): 1-11.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938