Remote Sensing Data Processing Software Based on Bayesian Network
Jianwen Ma · Jisuanji gongcheng · 2008
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.