De-striping for MODIS data via wavelet shrinkage

被引：15

作者：

Yang, ZD ^{[1
]}

Li, J ^{[1
]}

Menzel, WP ^{[1
]}

Frey, RA ^{[1
]}

机构：

[1] Natl Satellite Meteorol Ctr, Beijing, Peoples R China

来源：

APPLICATIONS WITH WEATHER SATELLITES | 2003年 / 4895卷

关键词：

MODIS striping; wavelet; de-striping;

D O I：

10.1117/12.466514

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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 I 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 I B stripe data, present the wavelet shrinkage method for MODIS level I B 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.

引用

页码：187 / 199

页数：13

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