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贝叶斯原理在遥感影像恢复中的应用
引用本文:王振国,耿则勋,丛明日.贝叶斯原理在遥感影像恢复中的应用[J].测绘学院学报,2007,24(6):436-438.
作者姓名:王振国  耿则勋  丛明日
作者单位:信息工程大学测绘学院 河南郑州450052(王振国,耿则勋),信息工程大学 河南郑州450001(丛明日)
摘    要:总结了遥感影像数据获取、传输和存储过程中引起影像退化的原因。根据信号处理中的概率统计理论,推导出了一种可以不依赖目标成像模型的遥感影像去模糊算法。实验结果表明,该算法具有较强的影像恢复能力和抗噪能力,对于缺乏点扩散函数先验知识的模糊遥感影像更加适用。

关 键 词:遥感影像恢复  点扩散函数  贝叶斯原理  盲解卷积
文章编号:1673-6338(2007)06-0436-03
收稿时间:2007-06-12
修稿时间:2007-10-23

Application of Bayesian Principle in the Recovery of Remote Sensing Images
WANG Zhen-guo, GENG Ze-xun, CONG Ming-ri.Application of Bayesian Principle in the Recovery of Remote Sensing Images[J].Journal of Institute of Surveying and Mapping,2007,24(6):436-438.
Authors:WANG Zhen-guo  GENG Ze-xun  CONG Ming-ri
Abstract:This paper briefly introduced the causations that led to the image degradation in the data obtaining and transmission process of remote sensing.It deduced a kind of remote sensing image debluring algorithm that was independent of the objects imaging model.The experimental results showed that the algorithm is capable of resisting-noise with robustness,especially it was more suitable for the situation without any prior knowledge.
Keywords:remote sensing image restoration  point spread function  Bayesian theorem  blind deconvolution
本文献已被 CNKI 维普 等数据库收录!
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