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Proceedings Paper

Destriping for MODIS data via wavelet shrinkage
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Paper Abstract

MODIS measurements contain the striping signals in the longwave infrared bands because MODIS is a multi-detector sensor. We describe a wavelet method for recovery of MODIS data from its stripe signals. Our work is organized into four broad sections. Section 1 will introduce wavelet shrinkage method for de-noising noisy data, compare the character of the wavelet method and the FFT method in de-noising processing. The objective of section 2 is to find out the scale of MODIS stripe by the wavelet analysis for MODIS stripe data using continuous wavelet transforms. Section 3 analyses Stripe data pattern for the MODIS level 1B stripe data, present the wavelet shrinkage method for MODIS level 1B data. Section 4 will provide a comparing for MODIS cloud product and atmospheric profile product between the original data and de-striped data. We can find that there’s been an improvement in MODIS cloud product and atmospheric profile product after de-striping. And we can get more understanding for the stripe regular pattern.

Paper Details

Date Published: 16 June 2003
PDF: 13 pages
Proc. SPIE 4895, Applications with Weather Satellites, (16 June 2003); doi: 10.1117/12.466514
Show Author Affiliations
Zhongdong Yang, National Satellite Meteorological Ctr. of China (China)
Jun Li, Univ. of Wisconsin/Madison (United States)
W. Paul Menzel, National Oceanic and Atmospheric Administration (United States)
Richard A. Frey, Univ. of Wisconsin/Madison (United States)


Published in SPIE Proceedings Vol. 4895:
Applications with Weather Satellites
W. Paul Menzel; Wen-Jian Zhang; John Le Marshall; Masami Tokuno, Editor(s)

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