%0 Journal Article
%T Improved algorithm for reconstructing vegetation index image time series based on Fourier Harmonic Analysis<br>谐波改进的植被指数时间序列重建算法
%A ZHANG Xi
%A LI Ru
%A YUE Yuemin
%A LIU Bo
%A LIU Haixia
%A <br>张 霞
%A 李 儒
%A 岳跃民
%A 刘 波
%A 刘海霞
%J 遥感学报
%D 2010
%I 
%X This paper, based on Fourier-transform-based Harmonic Analysis Algorithm, proposes an improved algorithm to overcome the drawback of artificially setting key parameters and to reconstruct high-quality time-series data. Firstly, outlier detection algorithm, instead of threshold setting method, is used to find unreasonable data points before curve fitting. Then, regarding the inherent phenological regulation for each land cover, Numbers of Frequency (NOF) is calculated pixel by pixel by polynomial fitting, which is more reasonable than setting a unique global NOF for the whole scene which contains complex land cover types. Fitting-effect Index, instead of manually setting one fitting tolerance, is employed to decide automatically when to terminate the iteration. The improved method is validated by the MODIS_EVI time series of Huabei plain of 2003. The widely used Harmonic Analysis of Time Series (HANTS) is chosen as a comparison. The result shows that both of the two methods can reflect the phenological regulations of land covers, the reconstructed EVI temporal profile of single-season crop-land (e.g. cotton) takes on one peak pattern, and those of double-season cropland and inland water take on double peak pattern and low-steady curve. But the improved method performs better in tracking the change tendency of the original curve. More-over, the peak time and peak value of croplands are mostly consistent with the original curve, which will be useful for VI-based crop yield prediction.
%K vegetation index image time series
%K filter
%K Fourier Harmonic Analysis
%K outlier detection
%K fitting-effect Index<br>植被指数图像时间序列
%K 滤波
%K 傅里叶谐波
%K 异常值检测
%K 拟合影响因子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=2FADFCBB8C4F7E1235F20FAC41DD07BE&yid=140ECF96957D60B2&vid=F3583C8E78166B9E&iid=38B194292C032A66&sid=D98387EFB283C5E0&eid=FB36B1C076A263FA&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=14