Destriping for MODIS data via wavelet shrinkage

Zhongdong Yang; Jun Li; W. Paul Menzel; Richard A. Frey

doi:10.1117/12.466514

16 June 2003 Destriping for MODIS data via wavelet shrinkage

Zhongdong Yang, Jun Li, W. Paul Menzel, Richard A. Frey

Proceedings Volume 4895, Applications with Weather Satellites; (2003) https://doi.org/10.1117/12.466514
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

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.

Citation Download Citation

Zhongdong Yang, Jun Li, W. Paul Menzel, and Richard A. Frey "Destriping for MODIS data via wavelet shrinkage", Proc. SPIE 4895, Applications with Weather Satellites, (16 June 2003); https://doi.org/10.1117/12.466514

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