THE APPLICATION OF TIME-SERIES FOURIER ANALYSIS TO<br />
RECONSTRUCTING CLOUD-FREE NDVI IMAGES

doi:10.6046/gtzyyg.2005.02.07

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Abstract

This paper applied the Harmonic Analysis of Time Series (HANTS) algorithm based on Fourier transformation

to predigest and compress the NOAA/AVHRR Normalized Difference Vegetation Index (NDVI) time-series images, and at the

same time, wipe off and fill in the data where cloud cover and misdata are examined. The HANTS algorithm outputs such

Fourier components as amplitude components and phase components. A fit curve is built according to the Fourier

components. Temporal interpolation according to the curve makes it possible to reconstruct the sequential time-series

images.

TP 75

Issue Date: 31 July 2009

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	Chen Wei

Cite this article:

Chen Wei. THE APPLICATION OF TIME-SERIES FOURIER ANALYSIS TO
RECONSTRUCTING CLOUD-FREE NDVI IMAGES[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(2): 29-32.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2005.02.07 OR https://www.gtzyyg.com/EN/Y2005/V17/I2/29

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