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MODISNDVI时间序列数据的去云算法比较

DOI: 10.6046/gtzyyg.2011.01.06, PP. 33-36

Keywords: NDVI,时间序列,HANTS,SPLINE,Savizky-Golay(S-G)

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Abstract:

?受多重因素的影响,MODISNDVI数据产品中存在着大量的噪声,需要进行去噪重建。针对目前几种常用的NDVI时间序列数据去云方法,如HANTS法、SPLINE插值法以及Savizky-Golay法,以山东省MODISNDVI时间序列数据(一年的)作为检验数据,从不同角度比较几种算法的去云能力和使用范围。结果表明:SPLINE插值法的去噪效果取决于云掩模数据的质量,但有时会产生异常值;HANTS算法和Savizky-Golay算法会改变几乎所有像元的值,得到一个比较平滑的时间序列曲线,但这两种算法的输入参数没有统一标准,需多次试验才能确定最优参数。

References

[1]  [1]顾娟,李新,黄春林.NDVI时间序列数据集重建方法述评[J].遥感技术与应用,2006,21(4):391-395.
[2]  [2]Roerink G J,Menenti M,Verhoef W.Reconstructing Cloud Free NDVI Composites Using Fourier Analysis of Time Series[J].International Journal of Remote Sensing,2000,21(9):1911-1917.
[3]  [3]王丹,姜小光,唐伶俐,等.利用时间序列傅立叶分析重构无云NDVI图像[J].国土资源遥感,2005(2):29-32.
[4]  [4]Mucher C A,de Badts E P J.Global Land Cover 2000:Evaluation of the SPOT VEGTATION Sensor for Land Use Mapping[R].Wageningen Alterra:Green World Research,2002.
[5]  [5]Chen J,Jnsson P,Tamura M,et al.A Simple Method for Reconstructing a High-quality NDVI Time-series Dataset Based on the Savitzky-Golay Filter [J].Remote Sensing of Environment,2004,91:332-344
[6]  [6]Malingreau J P.Global Vegetation Dynamics:Satellite Observations over Asia[J].International Journal of Remote Sensing,1986,7:1121-1146
[7]  [1]Carrere V.Development of Multiple Source Data-processing for Structural-analysis at a Regional Scale [J].Photogrammetric Engineering and Remote Sensing,1990,56(5):587-595.
[8]  [2]Peddle D R,Ferguson D T.Optimisation of Multisource Data Analysis:an Example Using Evidential Reasoning for GIS Data Classification [J].Computers & Geosciences,2002,28(1):45-52.
[9]  [7]Kogan F,Sullivan J,Carry R,et al.Post-pinatubo Vegetation Index in Central Africa[J].Geocarto International,1994,9:63-66.
[10]  [8]Savitzky A,Golay M J E.Smoothing and Differentiation of Data by Simplified Least Squares Procedures [J].Analytical Chemistry,1964,36:1627-1639.

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