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Ter(r)ascale ter(r)acomputing framework : a high performance information technology framework for global scale high resolution remote sensed data

机译：泰尔（R）asCaLE之三（R）acomputing框架：全球范围的高分辨率遥感数据的高性能的信息技术架构

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Curkendall, D. W.; Plesea, L.; Siegel, H.;
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年度 2001
页码 1-1
总页数 1
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
HIGH RESOLUTION; INFORMATION SYSTEMS; terascale computing;

机译：高分辨率;信息系统; terascale计算;

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2. An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments [J] . Jin Sun, Yi Zhang, Zebin Wu, IEEE Transactions on Geoscience and Remote Sensing . 2019,第7期

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3. National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China [J] . Ma Ailong, Chen Dingyuan, Zhong Yanfei, ISPRS Journal of Photogrammetry and Remote Sensing . 2021,第Nova期

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4. A framework for radiometric sensitivity evaluation of medium resolution remote sensing time series data to built-up land cover change [C] . Johannes H. Uhl, Stefan Leyk International Geoscience and Remote Sensing Symposium . 2017

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8. Utilization of Satellite Remote Sensing for the Monitoring of Oil Pollution and Marine Ecosystems in Indonesia. A Tropical Earth Resources Satellite Program (TERS) Case Study Implemented for the NLR, Delft [R] . Vandenboom, A. J. W., Bollen, R. 1983

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Ter(r)ascale ter(r)acomputing framework : a high performance information technology framework for global scale high resolution remote sensed data

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