DocumentCode
1726413
Title
A Study on Destriping Methods of Imaging Spectrometer Images
Author
Weiwei, Chang ; Lei, Guo ; Zhaoyang, Fu ; Kun, Liu
Author_Institution
Northwest Polytech. Univ., Xi´´an
fYear
2007
Abstract
The existence of stripe noises seriously influences the quality of imaging spectrometer data. In this paper, the characteristic of stripe noises especially their influence on the mean value distribution of image was deeply analyzed firstly. Based on the previous analysis, two new destriping methods were proposed. The experimental result indicated that both the new methods could effectively remove stripe noises and preserve the textures and details of the imaging spectrometer images better.
Keywords
image denoising; spectrometers; image denoising; image destriping methods; imaging spectrometer images; mean value distribution; stripe noises removal; Analytical models; Image analysis; Instruments; Noise measurement; Pixel; Signal analysis; Signal denoising; Spectroscopy; Wavelet analysis; Wavelet transforms; Stripe noises; destriping; matching; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-1136-8
Electronic_ISBN
978-1-4244-1136-8
Type
conf
DOI
10.1109/ICEMI.2007.4350793
Filename
4350793
Link To Document