%0 Journal Article
%T Fidelity Performance of Three Filters for High Quality NDVI Time-series Analysis<br>3种滤波算法对NDVI高质量数据保真性研究
%A CAO Yun-feng
%A WANG Zheng-xing
%A DEN Fang-ping
%A <br>曹云锋
%A 王正兴
%A 邓芳萍
%J 遥感技术与应用
%D 2010
%I 
%X Some noises still exist in standard MODIS NDVI product and need to be screened before further applications.An ideal filter should only remove noisy data,and keep the good data as much as possible.Most previous studies only concerned about the filter's performance in terms of handling noisy data,and neglected filter's capacity to retain the original high\|quality data (fidelity).The present study analyzed three filters included in Timesat 2.3 tools,examined the effect of data quality on the performance of three filter algorithms,both qualitatively and quantitatively.Through comparative analysis,we concluded that Asymmetric Gaussians has the highest fidelity performance of all,followed by Double Logistic algorithm,and Savizky\|Glolay algorithm performance worst.
%K NDVI
%K Time-series
%K Filters
%K Fidelity performance<br>植被指数、时间序列、滤波算法、保真性能
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=6F56B81324C1B239DA82AE08A4344F0C&aid=EF6CACC1EDCB96E73B4033C6F18551F1&yid=140ECF96957D60B2&vid=C5154311167311FE&iid=CA4FD0336C81A37A&sid=7F5DDA4924737DF5&eid=F122871CC7EC92DC&journal_id=1004-0323&journal_name=遥感技术与应用&referenced_num=1&reference_num=24