| MODIS NDVI时间序列数据的去云算法比较 |
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| 引用本文： | 梁守真,施平,邢前国.MODIS NDVI时间序列数据的去云算法比较[J].国土资源遥感,2011,22(1):33-36. |
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| 作者姓名： | 梁守真 施平 邢前国 |
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| 作者单位： | 1. 中国科学院烟台海岸带研究所,烟台,264003;中国科学院研究生院,北京,100039
2. 中国科学院烟台海岸带研究所,烟台,264003 |
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| 基金项目： | 中国科学院国际合作项目(编号： GJHZ200811)； 山东省科技发展计划项目（编号： 2007GG2QT06019）； 中国科学院信息化项目(编号： INFO-115-D01- Z005)； 国家自然科学基金项目（编号： 30800149）。 |
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| 摘 要： | 受多重因素的影响,MODIS NDVI数据产品中存在着大量的噪声,需要进行去噪重建.针对目前几种常用的NDVI时间序列数据去云方法,如HANTS法、SPLINE插值法以及Savizky-Golay法,以山东省MODIS NDVI时间序列数据(一年的)作为检验数据,从不同角度比较几种算法的去云能力和使用范围.结果表明:S...
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| 关 键 词： | NDVI 时间序列 HANTS SPLINE Savizky-Golay(S-G) |
| 收稿时间： | 2010-05-20 |
| 修稿时间： | 2010-07-14 |
A Comparison Between the Algorithms for Removing Cloud Pixel from MODIS NDVI Time Series Data |
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| LIANG Shou-zhen,SHI Ping,XING Qian-guo.A Comparison Between the Algorithms for Removing Cloud Pixel from MODIS NDVI Time Series Data[J].Remote Sensing for Land & Resources,2011,22(1):33-36. |
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| Authors: | LIANG Shou-zhen SHI Ping XING Qian-guo |
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| Institution: | 1(1.Yantai Institute of Coastal Zone Research,Chinese Academy of Sciences,Yantai 264003,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China) |
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| Abstract: | Although composite data present lower atmospheric contamination than raw time series, MODIS NDVI products are still contaminated by clouds, especially when cloud cover lasts longer than the composite period. e.g., in the rainy season. The long-time cloud cover will weaken the application of MODIS NDVI time series data. To remove the effect of these clouds from NDVI data and reconstruct high-quality NDVI data, the authors propose three algorithms for cloud removal, namely SPLINE function, HANTS and Savizky-Golay. The capabilities of the three algorithms in cloud removal was compared with each other in this study, with the MODIS NDVI time series data in Shandong province serving as the test data. The results show that the three algorithms can remove the effect of cloud from NDVI time series data effectively, with each algorithm having its own advantages and disadvantages. For the algorithm of SPLINE function, the result of cloud removal mainly depends on the quality of cloud data and sometimes extreme values will occur; this algorithm fails to change the values of pixels which have not been contaminated atmospherically. When HANTS and Savizky-Golay algorithms are used, most of the pixels will lose their original values, and the parameters have to be determined after conducting many experiments because there is no objective rule to set them. |
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| Keywords: | NDVI HANTS SPLINE Savizky-Golay(S-G) |
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