两种NDVI时间序列数据拟合方法比较  

Comparison of two fitting methods of NDVI time series datasets

作　　者：吴文斌[1,2,3] 杨鹏[1,2] 唐华俊[1,2] 周清波[1,2] Shibasaki Ryosuke 张莉[1,2] 

机构地区：[1]中国农业科学院农业资源与农业区划研究所,北京100081 [2]农业部资源遥感与数字农业重点开放实验室,北京100081 [3]日本东京大学空间情报科学研究中心

出　　处：《农业工程学报》2009年第11期183-188,F0003,共7页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金项目(40930101和40971218);国家科技支撑计划(2007BAC03A10);中央级公益性科研院所专项资金项目(2009IARRP25)资助

摘　　要：归一化植被指数(NDVI)时间序列数据拟合目的是降低时序数据的噪声水平,重建高质量的NDVI时序数据,有利于多种参数反演和信息提取。针对国际上普遍应用的两种NDVI时间序列数据拟合方法,即Savitzky-Golay滤波法和非对称性高斯函数拟合法,该文在介绍两种方法基本概念的基础上,利用直接比较法和间接比较法在中国对两种拟合方法进行了比较分析。结果表明,Savitzky-Golay滤波法和非对称性高斯函数拟合法的拟合效果总体上一致,但二者之间还是存在区域差异性,这种区域差异与两种方法的自身特点和中国区域自然条件紧密相关。不同数据拟合方法的比较研究可以弄清每种方法的优缺点和区域适宜性,有助于研究人员针对不同研究目的和研究区域选择适宜的NDVI数据拟合方法,减少遥感数据处理中的误差,提高研究精度。The fitting of NDVI time series datasets is to minimize the effects of anomalous values caused by atmospheric haze and cloud contamination, and to reconstruct high-quality NDVI data for parameters inversion and information extraction. A comparative study on two well-known fitting approaches of NDVI time series data, namely, Savitzky-Golay filtering and asymmetric Gaussian function fitting, was described in China using both direct and indirect comparison methods. The results showed that these two methods generally presented a similar performance and a high agreement in data filtering in China, but regional differences existed between them. The main reason for their discrepancies was related to the methodological differences between these two methods, as well as the landscape heterogeneity in different regions. This comparative study can help users to understand the advantages and limitations of each fitting method, and choose the appropriate method to reduce the errors and improve the accuracy in their applications.

关 键 词：时间序列分析 滤波 函数 拟合 Savitzky-Golay滤波法 非对称性高斯函数拟合法 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] Q948.1[自动化与计算机技术—控制科学与工程]