DOI: 10.1016/j.jag.2013.08.008
Scopus记录号: 2-s2.0-84897574479
论文题名: A dynamic and generic cloud computing model for glaciological image processing
作者: Ranisavljevic É ; , Devin F ; , Laffly D ; , Nir Y ; L
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 27, 期: PARTA 起始页码: 109
结束页码: 115
语种: 英语
英文关键词: Cloud computing
; Environment
; Image
; In situ sensing
; Scheduler
; Web service
Scopus关键词: computer simulation
; glacier dynamics
; image processing
; in situ measurement
; Internet
; satellite imagery
; snow cover
英文摘要: As satellite imaging is quite expensive, and because of poor weather conditions including common heavy cloud cover at polar latitudes, daily satellite imaging is not always accessible or suitable to observe fast temporal evolutions. We complement satellite imagery with a set of ground based autonomous automated digital cameras which take three pictures a day. With these pictures we build a mosaic with their projection and apply a classification to define the temporal evolution of the snow cover. As the pictures are subject to heavy disturbance, some processing is needed to build the mosaic. Once the processes are defined, we present our model. This model is built upon a cloud computing environment using Web services workflow. Then we present how the processes are dynamically organized using a scheduler. This scheduler chooses the order and the processes to apply to every picture to build the mosaic. Once we obtain a mosaic we can study the variation of the snow cover. © 2013 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79749
Appears in Collections: 气候变化事实与影响
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作者单位: École Internationale des Sciences du Traitement de l'Information, 2 boulevard Lucien Favre, 64 075 Pau Cedex, CS 77563, France; University of Toulouse, GEODE UMR 5602 CNRS, Maison de la recherche, 5 allées Antonio Machado, 31 058 Toulouse Cedex, France
Recommended Citation:
Ranisavljevic É,, Devin F,, Laffly D,et al. A dynamic and generic cloud computing model for glaciological image processing[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,27(PARTA)