A new destriping method of imaging spectrometer images

Striping is an important factor that influences the quality of Imaging Spectrometer data. In this paper, the main causes of stripe noises and the mean value distribution characteristics of noisy images were deeply analyzed. Based on the previous analysis, a new destriping method was proposed which w...

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Bibliographic Details
Published in2007 International Conference on Wavelet Analysis and Pattern Recognition Vol. 1; pp. 437 - 441
Main Authors Chang, Wei-Wei, Guo, Lei, Fu, Zhao-Yang, Liu, Kun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2007
Subjects
Destriping
Detectors
Image analysis
Imaging Spectrometer
Moment matching
Noise reduction
Noise shaping
Pattern analysis
Pattern recognition
Pixel
Spectroscopy
Wavelet analysis
Wavelet transform
Wavelet transforms
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Summary:Striping is an important factor that influences the quality of Imaging Spectrometer data. In this paper, the main causes of stripe noises and the mean value distribution characteristics of noisy images were deeply analyzed. Based on the previous analysis, a new destriping method was proposed which well used wavelet transform with moment matching method. The new method is easily realized and could be applied to various Imaging Spectrometer images with stripe noises. The result of comparing the tested images and data indicated that the new method could preserve the quality of the images better and effectively remove stripe noises, moreover, it did better than the existed method.
ISBN:9781424410651
1424410657
ISSN:2158-5695
DOI:10.1109/ICWAPR.2007.4420708