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COMPARISON OF THREE TIME-SERIES NDVI RECONSTRUCTION METHODS BASED ON TIMESAT
Song Chunqiao; Huang Bo; You Songcai
刊名2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
2012
页码2225-2228
关键词NDVI image reconstruction filter TIMESAT
ISSN号2153-6996
DOI10.1109/IGARSS.2012.6351057
通讯作者Song Chunqiao
英文摘要This paper has presented the reconstructing performances of AG, D-L and S-G methods for different types of vegetation cover and quantitatively comparing residuals and RMSE between raw and reconstructing NDVI. Time-series NDVI curves of six vegetation cover types of desert, desert steppe, meadow, shrub, crop, and forest. The results show that AG and D-L have better performances in keeping overall shape of curves. However, D-L may generate slightly more deviations in fitting the peak points of growing season curve than AG in general. The highest correlation coefficients of reconstructing curve with raw curve are of AG, followed by D-L, S-G. The AG method reconstructed the NDVI curves slightly better than D-L and better than S-G, particularly for greenup and dormancy period of growing season (RMSE (AG) < RMSE (D-L) < RMSE(S-G)). However, in peak of curves, the RMSE value of S-G was lower than that of other two methods.
学科主题Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing
语种英语
出版者IEEE
WOS记录号WOS:000313189402103
内容类型期刊论文
源URL[http://111.203.20.206/handle/2HMLN22E/19908]  
专题农业环境与可持续发展研究所
作者单位Minist Agr, Key Lab Agr Informat Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Song Chunqiao,Huang Bo,You Songcai. COMPARISON OF THREE TIME-SERIES NDVI RECONSTRUCTION METHODS BASED ON TIMESAT[J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS),2012:2225-2228.
APA Song Chunqiao,Huang Bo,&You Songcai.(2012).COMPARISON OF THREE TIME-SERIES NDVI RECONSTRUCTION METHODS BASED ON TIMESAT.2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS),2225-2228.
MLA Song Chunqiao,et al."COMPARISON OF THREE TIME-SERIES NDVI RECONSTRUCTION METHODS BASED ON TIMESAT".2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (2012):2225-2228.
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