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International Journal of Digital Earth Volume 10, 2017 - Issue 6
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Articles

A hierarchical spatiotemporal adaptive fusion model using one image pair

Bin ChenState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, ChinaView further author information
,
Bo HuangDepartment of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong KongView further author information
&
Bing XuState Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China;Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China;Department of Geography, University of Utah, Salt Lake City, UT, USACorrespondence[email protected]
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Pages 639-655 | Received 19 May 2016, Accepted 08 Sep 2016, Published online: 01 Nov 2016

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Andry Rustanto & Martijn J. Booij. (2022) Evaluation of MODIS-Landsat and AVHRR-Landsat NDVI data fusion using a single pair base reference image: a case study in a tropical upstream catchment on Java, Indonesia. International Journal of Digital Earth 15:1, pages 164-197.
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Weisheng Li, Xiayan Zhang, Yidong Peng & Meilin Dong. (2021) Spatiotemporal Fusion of Remote Sensing Images using a Convolutional Neural Network with Attention and Multiscale Mechanisms. International Journal of Remote Sensing 42:6, pages 1973-1993.
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Hooman Latifi, Thorsten Dahms, Burkhard Beudert, Marco Heurich, Carina Kübert & Stefan Dech. (2018) Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles. GIScience & Remote Sensing 55:6, pages 839-859.
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Feifei Cheng, Zhitao Fu, Bohui Tang, Liang Huang, Kun Huang & Xinran Ji. (2022) STF-EGFA: A Remote Sensing Spatiotemporal Fusion Network with Edge-Guided Feature Attention. Remote Sensing 14:13, pages 3057.
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Yuncheng Chen, Yingbao Yang, Xin Pan, Xiangjin Meng & Jia Hu. (2022) Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-13.
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Hessah Albanwan & Rongjun Qin. 2020. Recent Advances in Image Restoration with Applications to Real World Problems. Recent Advances in Image Restoration with Applications to Real World Problems.
Weisheng Li, Xiayan Zhang, Yidong Peng & Meilin Dong. (2020) DMNet: A Network Architecture Using Dilated Convolution and Multiscale Mechanisms for Spatiotemporal Fusion of Remote Sensing Images. IEEE Sensors Journal 20:20, pages 12190-12202.
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Jia Tang, Jingyu Zeng, Li Zhang, Rongrong Zhang, Jinghan Li, Xingrong Li, Jie Zou, Yue Zeng, Zhanghua Xu, Qianfeng Wang & Qing Zhang. (2020) A modified flexible spatiotemporal data fusion model. Frontiers of Earth Science 14:3, pages 601-614.
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Z Tan, J Melack, Y Li, X Liu, B Chen & Q Zhang. (2020) Estimation of water volume in ungauged, dynamic floodplain lakes. Environmental Research Letters 15:5, pages 054021.
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Xiaodong Li, Giles M. Foody, Doreen S. Boyd, Yong Ge, Yihang Zhang, Yun Du & Feng Ling. (2020) SFSDAF: An enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion. Remote Sensing of Environment 237, pages 111537.
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Jiale Jiang, Qiaofeng Zhang, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao & Tao Cheng. (2020) HISTIF: A New Spatiotemporal Image Fusion Method for High-Resolution Monitoring of Crops at the Subfield Level. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 4607-4626.
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Hongcan Guan, Yanjun Su, Tianyu Hu, Jin Chen & Qinghua Guo. (2019) An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications. Remote Sensing 11:24, pages 2927.
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Zhiqiang Tan, Xiaolong Wang, Bin Chen, Xinggen Liu & Qi Zhang. (2019) Surface water connectivity of seasonal isolated lakes in a dynamic lake-floodplain system. Journal of Hydrology 579, pages 124154.
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Liu, Ke, Yin, Chen & Im. (2019) Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation. Remote Sensing 11:22, pages 2612.
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Su, Sun, Chen, Zhang, Yao, Wu, Huang & Zhu. (2019) Joint Retrieval of Growing Season Corn Canopy LAI and Leaf Chlorophyll Content by Fusing Sentinel-2 and MODIS Images. Remote Sensing 11:20, pages 2409.
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Shi, Wang, Zhang, Liang, Niu, Han & Zhu. (2019) A Comprehensive and Automated Fusion Method: The Enhanced Flexible Spatiotemporal DAta Fusion Model for Monitoring Dynamic Changes of Land Surface. Applied Sciences 9:18, pages 3693.
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Zhiqiang Tan, Yunliang Li, Xiuli Xu, Jing Yao & Qi Zhang. (2019) Mapping inundation dynamics in a heterogeneous floodplain: Insights from integrating observations and modeling approach. Journal of Hydrology 572, pages 148-159.
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Bin Chen, Yufang Jin & Patrick Brown. (2019) Automatic mapping of planting year for tree crops with Landsat satellite time series stacks. ISPRS Journal of Photogrammetry and Remote Sensing 151, pages 176-188.
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Mariana Belgiu & Alfred Stein. (2019) Spatiotemporal Image Fusion in Remote Sensing. Remote Sensing 11:7, pages 818.
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Jie Xue, Yee Leung & Tung Fung. (2019) An Unmixing-Based Bayesian Model for Spatio-Temporal Satellite Image Fusion in Heterogeneous Landscapes. Remote Sensing 11:3, pages 324.
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Lu Ming. 2019. Chinese Water Systems. Chinese Water Systems 221 248 .
Jianhang Ma, Wenjuan Zhang, Andrea Marinoni, Lianru Gao & Bing Zhang. (2018) Performance assessment of ESTARFM with different similar-pixel identification schemes. Journal of Applied Remote Sensing 12:02, pages 1.
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Bin Chen, Lifan Chen, Bo Huang, Ryo Michishita & Bing Xu. (2018) Dynamic monitoring of the Poyang Lake wetland by integrating Landsat and MODIS observations. ISPRS Journal of Photogrammetry and Remote Sensing 139, pages 75-87.
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Ming Lu, Bin Chen, Xiaohan Liao, Tianxiang Yue, Huanyin Yue, Shengming Ren, Xiaowen Li, Zhen Nie & Bing Xu. (2017) Forest Types Classification Based on Multi-Source Data Fusion. Remote Sensing 9:11, pages 1153.
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