DocumentCode
3341438
Title
Investigation on Deblurring of Remote Sensing Images Using Bayesian Principle
Author
Wang Zhen-Guo ; Geng Ze-xun
Author_Institution
Inf. Eng. Univ., Zhengzhou
fYear
2007
fDate
22-24 Aug. 2007
Firstpage
160
Lastpage
163
Abstract
Firstly, this paper briefly introduces the causations that lead to the image degradation in the data obtaining and transmission process of remote sensing. Secondly, it deduces a kind of remote sensing image debluring algorithm that is independent of the objects imaging model. The experimental results show that the algorithm is capable of resisting-noise with robustness, especially it is more suitable for the situation without any prior knowledge.
Keywords
Bayes methods; image restoration; remote sensing; Bayesian principle; image degradation; objects imaging model; remote sensing image deblurring; transmission process; Bayesian methods; Deconvolution; Degradation; Image resolution; Image restoration; Iterative algorithms; Mathematical model; Mathematics; Probability; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location
Sichuan
Print_ISBN
0-7695-2929-1
Type
conf
DOI
10.1109/ICIG.2007.100
Filename
4297074
Link To Document