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GIScience & Remote Sensing Volume 50, 2013 - Issue 3
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Original Articles

Storage and processing of massive remote sensing images using a novel cloud computing platform

Feng-Cheng Lin Geographic Information Systems Research Center, Feng Chia University, Taichung, Taiwan, ROCCorrespondence[email protected]
,
Lan-Kun Chung Geographic Information Systems Research Center, Feng Chia University, Taichung, Taiwan, ROC
,
Chun-Ju Wang Department of Urban Planning and Spatial Information, Feng Chia University, Taichung, Taiwan, ROC
,
Wen-Yuan Ku Geographic Information Systems Research Center, Feng Chia University, Taichung, Taiwan, ROC
&
Tien-Yin Chou Geographic Information Systems Research Center, Feng Chia University, Taichung, Taiwan, ROC
Pages 322-336 | Received 28 May 2013, Accepted 01 Apr 2013, Published online: 02 Jul 2013

Citations (13)

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Hien Phu La, Yang Dam Eo, Soo Bong Lee, Wan Yong Park & Jee Hee Koo. (2015) Image simulation from multitemporal landsat images. GIScience & Remote Sensing 52:5, pages 586-608.
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Peichao Gao, Zhao Liu, Fei Han, Lei Tang & Meihui Xie. (2015) Accelerating the computation of multi-scale visual curvature for simplifying a large set of polylines with Hadoop. GIScience & Remote Sensing 52:3, pages 315-331.
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Jin Xing, Renée Sieber & Margaret Kalacska. (2014) The challenges of image segmentation in big remotely sensed imagery data. Annals of GIS 20:4, pages 233-244.
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Articles from other publishers (10)

Pedro Pérez-Cutillas, Alberto Pérez-Navarro, Carmelo Conesa-García, Demetrio Antonio Zema & Jesús Pilar Amado-Álvarez. (2023) What is going on within google earth engine? A systematic review and meta-analysis. Remote Sensing Applications: Society and Environment 29, pages 100907.
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Zebin Wu, Jin Sun, Yi Zhang, Zhihui Wei & Jocelyn Chanussot. (2021) Recent Developments in Parallel and Distributed Computing for Remotely Sensed Big Data Processing. Proceedings of the IEEE 109:8, pages 1282-1305.
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Jin Sun, Yi Zhang, Zebin Wu, Yaoqin Zhu, Xianliang Yin, Zhongzheng Ding, Zhihui Wei, Javier Plaza & Antonio Plaza. (2019) An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments. IEEE Transactions on Geoscience and Remote Sensing 57:7, pages 4294-4308.
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Jing-wei Hou, Shi-qin Sun, Ren-tao Liu, Jian-hua Li & Ming-xin Zhang. (2018) Design and achievement of cloud geodatabase for a sponge city海绵城市云空间数据库设计与实现. Journal of Central South University 25:10, pages 2423-2437.
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Jining Yan, Yan Ma, Lizhe Wang, Kim-Kwang Raymond Choo & Wei Jie. (2018) A cloud-based remote sensing data production system. Future Generation Computer Systems 86, pages 1154-1166.
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Mengzhao Yang, Wei Song & Haibin Mei. (2017) Efficient Retrieval of Massive Ocean Remote Sensing Images via a Cloud-Based Mean-Shift Algorithm. Sensors 17:7, pages 1693.
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Wei Huang, Lingkui Meng, Dongying Zhang & Wen Zhang. (2017) In-Memory Parallel Processing of Massive Remotely Sensed Data Using an Apache Spark on Hadoop YARN Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:1, pages 3-19.
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Pei-chao Gao, Zhao Liu, Mei-hui Xie & Kun Tian. (2017) Low-cost cloud computing solution for geo-information processing. Journal of Central South University 23:12, pages 3217-3224.
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Zhenlong Li, Chaowei Yang, Kai Liu, Fei Hu & Baoxuan Jin. (2016) Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial Data. ISPRS International Journal of Geo-Information 5:10, pages 173.
Crossref
A. Sinha. 2016. Cloud Computing in Ocean and Atmospheric Sciences. Cloud Computing in Ocean and Atmospheric Sciences 245 276 .

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