A Web 2.0-based science gateway for massive remote sensing image processing
文献类型:期刊论文
作者 | Miao, Yanhua1; Wang, Lizhe1; Liu, Dingsheng1; Ma, Yan1; Zhang, Wanfeng1; Chen, Lajiao1 |
刊名 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
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出版日期 | 2015 |
卷号 | 27期号:9(SI) |
关键词 | Science Gateway Web 2.0 parallel remote sensing image processing |
ISSN号 | 15320626 |
通讯作者 | Wang, LZ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100864, Peoples R China. |
英文摘要 | With the incessant expansion of applications and the frequent update of the software, Science Gateway for Massive Remote Sensing Image Processing (SGMRSIP), developed by client/server model or traditional browser/server model, has received more and more challenges. Fortunately, the Web 2.0 technologies, proposed in recent years, bring us a new user experience (UE) that has a fast response speed and a good interface. In particular, the remote sensing image can be processed smoothly in the absence of client software by Web 2.0 technologies. Hence, a Web 2.0-based browser/server model is designed for SGMRSIP to enhance the UE in this paper. Firstly, functions of a parallel remote sensing image processing portal, based on high performance cluster and client/server model, are summarized. And then, a Web 2.0-based interaction model is built, and all these functions are accomplished again on the basis of this model. Finally, the Web 2.0-based Science Gateway is achieved. In addition, we design different workflows for different satellite data, and all the processing tasks are finished successfully to verify the feasibility of this Science Gateway. The experimental results showed that the software scalability and interaction were improved and a better UE was achieved, compared with the existing SGMRSIP. Copyright (c) 2013 John Wiley & Sons, Ltd. |
研究领域[WOS] | Computer Science, Software Engineering ; Computer Science, Theory & Methods |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000355001700018 |
公开日期 | 2014-12-07 |
源URL | [http://ir.ceode.ac.cn/handle/183411/28946] ![]() |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1.[Miao, Yanhua 2.Wang, Lizhe 3.Liu, Dingsheng 4.Ma, Yan 5.Zhang, Wanfeng 6.Chen, Lajiao] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100864, Peoples R China 7.[Wang, Lizhe] China Univ Geosci, Sch Comp, Beijing, Peoples R China 8.[Miao, Yanhua] Univ Chinese Acad Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Miao, Yanhua,Wang, Lizhe,Liu, Dingsheng,et al. A Web 2.0-based science gateway for massive remote sensing image processing[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2015,27(9(SI)). |
APA | Miao, Yanhua,Wang, Lizhe,Liu, Dingsheng,Ma, Yan,Zhang, Wanfeng,&Chen, Lajiao.(2015).A Web 2.0-based science gateway for massive remote sensing image processing.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,27(9(SI)). |
MLA | Miao, Yanhua,et al."A Web 2.0-based science gateway for massive remote sensing image processing".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 27.9(SI)(2015). |
入库方式: OAI收割
来源:遥感与数字地球研究所
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