An Improved Spatiotemporal Fusion Approach Based on Multiple Endmember Spectral Mixture Analysis.

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作者： Wenjie,Liu ^[1] ; Yongnian,Zeng ^[2] ; Songnian,Li ^[3] ; Xinyu,Pi ^[4] ; Wei,Huang ^[5]

作者单位： School of Geoscience and Info-Physics, Central South University, Changsha 410083, China. liuwenjiers@126.com. ^[1] Center for Geomatics and Regional Sustainable Development Research, Central South University, Changsha 410083, China. liuwenjiers@126.com. ^[2] School of Geoscience and Info-Physics, Central South University, Changsha 410083, China. ynzeng@mail.csu.edu.cn. ^[3] Center for Geomatics and Regional Sustainable Development Research, Central South University, Changsha 410083, China. ynzeng@mail.csu.edu.cn. ^[4] Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada. snli@ryerson.ca. ^[5] School of Geoscience and Info-Physics, Central South University, Changsha 410083, China. 18273174217@163.com. ^[6] Center for Geomatics and Regional Sustainable Development Research, Central South University, Changsha 410083, China. 18273174217@163.com. ^[7] Ministry of Transportation Ontario, 777 Bay Street, Toronto, ON M7A 2J3, Canada. huangweibuct@gmail.com. ^[8]

关键词 ESTARFM neighboring similar pixel remote sensing spatiotemporal fusion spectral mixture analysis

DOI 10.3390/s19112443

PMID 31146334

发布时间 2020-02-25

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准确一般字义偏差语意偏离译文作用小提交