{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T17:16:40Z","timestamp":1772644600772,"version":"3.50.1"},"reference-count":21,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","funder":[{"name":"the Ph.D. Programs Foundation of Hainan Tropical Ocean University","award":["RHDXB201804"],"award-info":[{"award-number":["RHDXB201804"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:p> Savitzky\u2013Golay (S-G) filter is a method of local polynomial regression, and iterative filtering with S-G filter can be used to smooth out random noise and outliers of cloud noise in NDVI time series. It involves a continuous approximation to the upper envelope of NDVI time series. In this paper, the optimum-length of S-G filter was estimated based on Steinc\u2019s unbiased risk estimator theory when S-G filtering was conducted iteratively, and the reconstruction result was presented. Reconstruction experiments on the simulated data and MODIS NDVI time series of the year 2010\u20132014 showed that the optimum-length S-G filter can outperform the fixed bandwidth S-G filter. <\/jats:p>","DOI":"10.1142\/s0219691320500010","type":"journal-article","created":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T09:05:52Z","timestamp":1570007152000},"page":"2050001","source":"Crossref","is-referenced-by-count":15,"title":["SURE-based optimum-length S-G filter to reconstruct NDVI time series iteratively with outliers removal"],"prefix":"10.1142","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6305-3973","authenticated-orcid":false,"given":"Liang","family":"Tang","sequence":"first","affiliation":[{"name":"Hainan Tropical Ocean University, Sanya 572022, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongming","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Tang","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haijun","family":"Yang","sequence":"additional","affiliation":[{"name":"Hainan Tropical Ocean University, Sanya 572022, P. R. 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