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	结合自适应倒易晶胞和HMT模型的斜采样遥感图像复原方法
	赵宁宁 ; 张爱武 ; 王京萌 ; 胡少兴 ; 孙卫东 ; Zhao Ningning ; Zhang Aiwu ; Wang Jingmeng ; Hu Shaoxing ; Sun Weidong
	2016-03-30 ; 2016-03-30
关键词	斜模式采样 图像复原 自适应倒易晶胞 隐马尔科夫模型 贝叶斯方法 artificial intelligent trajectory mining regular routes transportation mode location based service TP391.41
其他题名	Tilting Mode Sampling Image Restoration Based on Hybrid Adaptation of Reciprocal Cell-HMT Model
中文摘要	传统的图像复原方法往往只考虑遥感图像获取过程中模糊和噪声对图像质量的影响,而忽略了图像混迭的影响.针对斜模采样系统调制传递函数各向异性的特点,通过自适应倒易晶胞确定图像中混迭和噪声较小的频谱覆盖范围;从图像复原的贝叶斯方法出发,以小波域隐马尔科夫树模型作为图像的先验模型,提出一种结合自适应倒易晶胞和隐马尔科夫模型的斜采样遥感图像复原方法.实验结果表明,该方法可有效地提高图像分辨率,较常用的图像复原方法复原效果更好.; Traditional methods of image restoration tend to only think of the influence of noise and blur on image quality during the image acquisition process,alias is ignored.Due to the anisotropic characteristics of modulation transfer function of the tilting mode sampling system,the adaptation of the reciprocal cell can confine the shape of the unit with little alias and noise.In this paper,the Bayesian method and wavelet domain Hidden Markov Tree model are treated as prior models,a method combining adaptation of the reciprocal cell with HMT model is proposed for tilting mode sampling image restoration.The experimental results show that the method can effectively improve the image resolution,and is better than the commonly used image restoration methods.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/146761]
专题	清华大学
推荐引用方式 GB/T 7714	赵宁宁,张爱武,王京萌,等. 结合自适应倒易晶胞和HMT模型的斜采样遥感图像复原方法[J],2016, 2016.
APA	赵宁宁.,张爱武.,王京萌.,胡少兴.,孙卫东.,...&Sun Weidong.(2016).结合自适应倒易晶胞和HMT模型的斜采样遥感图像复原方法..
MLA	赵宁宁,et al."结合自适应倒易晶胞和HMT模型的斜采样遥感图像复原方法".(2016).

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