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。
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.