An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery
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- 作者：Mingquan Wua ; wumq@radi.ac.cn" class="auth_mail" title="E-mail the corresponding author ; Chaoyang Wua ; Wenjiang Huangb ; Zheng Niua ; Changyao Wanga ; Wang Lia ; Pengyu Haoa
- 关键词：Spatial and temporal data fusion ; Remote sensing ; MODIS ; Landsat ; FROM-GLC
- 刊名：Information Fusion
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：31
- 期：Complete
- 页码：14-25
- 全文大小：3007 K
文摘
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Two key weaknesses of STDFA including sensor difference and spatial variability were adjusted.
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Three wildly used spatial and temporal fusion methods were compared.
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The correlation coefficient r had a negative exponential relationship with ratio of land cover change pixels.
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The accuracy of ISTDFA method had a logarithmic relationship with the size of applied area.