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Intercomparison of the different fusion methods for generating high spatial-temporal resolution data

文献类型： 外文期刊

作者： Shi Yue-Chan 1 ; Yang Gui-Jun 2 ; Li Xin-Chuan 3 ; Song Jian 2 ; Wang Ji-Hua 4 ; Wang Jin-Di 1 ;

作者机构： 1.Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China

2.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Jiangsu, Peoples R China

4.Beijing Res Ctr Agr Stand & Testing, Beijing 100097, Peoples R China

关键词： multi-source remote sensing;fusion data;high spatial and temporal resolution;decomposition of mixed pixels

期刊名称：JOURNAL OF INFRARED AND MILLIMETER WAVES （ 影响因子：0.557； 五年影响因子：0.445 ）

ISSN： 1001-9014

年卷期： 2015 年 34 卷 1 期

页码：

收录情况： SCI

摘要： It has an important application to blend multi-source remote sensing to generate high spatial-temporal resolution data. In this study, three spatial-temporal fusion algorithms were analyzed and compared with each other. They are spatial and temporal fusion method using high/low resolution time-series images(STIFM), spatial and temporal data fusion method based on decomposition of mixed pixels(S'TDFM) and an enhanced spatial and temporal adaptive reflectance fusion method(ESTATFM). The study area was located in Yingke irrigation districts. Temporal change information was detected from sequence MODIS and high-resolution spatial information was provided by ASTER/TM. Results showed that STDFM can make an optimal effect in red reflectance(r =0.91) and ESTATFM in near-infrared reflectance(r =0.71) which was compared with actual observations of ASTER. The blended NDVI from above three method were similar with r higher than 0. 84. Results also indicate that ESTATFM is well adapted to the heterogeneous region, such as corn and wheat.

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