计算机工程 ›› 2008, Vol. 34 ›› Issue (24): 10-12.doi: 10.3969/j.issn.1000-3428.2008.24.004

• 博士论文 • 上一篇    下一篇

基于贝叶斯网络的遥感数据处理软件

温 奇1,2,马建文1   

  1. (1. 中国科学院遥感应用研究所,北京 100101;2. 中国科学院研究生院信息学院,北京 100049)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-12-20 发布日期:2008-12-20

Remote Sensing Data Processing Software Based on Bayesian Network

WEN Qi1,2, MA Jian-wen1   

  1. (1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101;2. Information Department, Graduate University of Chinese Academy of Sciences, Beijing 100049)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-12-20 Published:2008-12-20

摘要: 航空航天对地观测系统利用遥感数据获取地表信息的过程中,存在数据误差造成的不确定性和成像时间限制造成的不完整性。针对上述问题该文开发了一款以贝叶斯网络及其相关算法为基础的遥感数据处理软件——BayesNetEX,介绍BayesNetEX的体系结构及使用方法,以三时相北京市TM遥感影像为对象进行变化检测数据处理试验,说明该软件能有效地应用于遥感影像处理。

关键词: 贝叶斯网络, 遥感数据处理, 免费软件

Abstract: When aerospace earth observation systems acquire earth surface information by using remote sensing data, there are the uncertainty caused by data error and incompleteness caused by imaging time constraints. A software based on Bayesian network and its related algorithms, namely BayesNetEX, is developed to address the problem. This paper introduces the architecture of the software and the way to use it. The change detection of three TM images of Beijing district is presented to verify the functions of BayesNetEX. The results show that BayesNetEX can be applied in remote sensing image processing effectively.

Key words: Bayesian network, remote sensing data processing, free software

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