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    dcterms:creator "Sun J.";
    bibo:doi "10.1109/tgrs.2018.2890513";
    fabio:hasPublicationYear "2019";
    dcterms:publisher "IEEE Transactions on Geoscience and Remote Sensing";
    ou:urlOrcid <https://doi.org/10.1109/TGRS.2018.2890513>;
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    ou:bibtex "@article{Sun_2019,\n\tdoi = {10.1109/tgrs.2018.2890513},\n\turl = {https://doi.org/10.1109%2Ftgrs.2018.2890513},\n\tyear = 2019,\n\tmonth = {jul},\n\tpublisher = {Institute of Electrical and Electronics Engineers ({IEEE})},\n\tvolume = {57},\n\tnumber = {7},\n\tpages = {4294--4308},\n\tauthor = {Jin Sun and Yi Zhang and Zebin Wu and Yaoqin Zhu and Xianliang Yin and Zhongzheng Ding and Zhihui Wei and Javier Plaza and Antonio Plaza},\n\ttitle = {An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments},\n\tjournal = {{IEEE} Transactions on Geoscience and Remote Sensing}\n}";
    dcterms:title "An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments";
    bibo:eissn "1558-0644";
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