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Remote Sensing Technology and Application  2013, Vol. 28 Issue (2): 232-239    DOI: 10.11873/j.issn.1004-0323.2013.2.232
    
VI-Quality-Based Savitzky-Golay Method for Filtering Time Series Data
Zhou Zengguang1,2,Tang Ping1
(1.Image Processing Division,Institute of Remote Sensing Applications,
Chinese Academy of Sciences,Beijing 100101,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)
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Abstract  

NDVI time-series data contain disturbances that limit their use and even yield false results.Although the adaptive Savitzky-Golay method could effectively filter some sudden fall - noisy data which is assumed traditionally to be contaminated by clouds or poor atmosphere conditions,it cannot preserve some sudden fall data with good quality,and cannot suppress the sudden rise noisy data.Although maximum NDVI values greatly reduce clouds and aerosols,the highest NDVI value does not necessarily correspond to small sensor viewing angles or to the least-contaminated measurement.This paper presents a VI-quality-weighted Savitzky-Golay method  which is based on the Savitzky-Golay filter and weighted by VI qualities derived from MODIS VI product.The results illustrate that the quality-weighted methods could filter more noises,especially sudden rise noisy data,effectively preserve high-quality data and meanwhile do not sensibly elevate the values of the whole time-series.It can appropriately fit high quality data among serious fluctuations and better reconstructs wave crests compared with the traditional Distance-weighted Savitzky-Golay method.Statistically,the proposed method here has the following characteristics:(1) it has lower mean variation (or less shift) effect on original NDVI data;(2) it stabilizes high quality NDVI data;and (3)  the resulting high quality data are better correlated with original good data,meanwhile the original noise are greatly decorrelated.

Key words:  NDVI      Time series      Filter      Quality      Savitzky-Golay     
Received:  27 February 2012      Published:  24 June 2013
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Zhou Zengguang
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Zhou Zengguang,Tang Ping. VI-Quality-Based Savitzky-Golay Method for Filtering Time Series Data. Remote Sensing Technology and Application, 2013, 28(2): 232-239.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2013.2.232     OR     http://www.rsta.ac.cn/EN/Y2013/V28/I2/232

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