浙江大学学报（理学版）2012，Vol.39Issue(2)：225-230,6.DOI:10.3785/j.issn.1008-9497.2012.02.021
一种基于分块的遥感影像并行处理机制
A mechanism of remote sensing image for parallel processing base on splitting blocks
摘要
Abstract
Large-scale parallel computing under cluster architecture is the basis of HPCChigh performance computing). To enhance the efficiency of image processing for remote sensing depends on the application of technology of parallel computing. Towards the characteristic about the scarce quantity of objects on some images, this paper proposed an algorithm model for task allocating and image processing under distributed computing environment. Firstly, we split the area of image which contains the objects using quad-tree policy, and dispatched the data to computing node by using the idea on dynamic load balance to perform this computing. Experiment shows that the strategy on task allocation can improve the overall computing performance effectively.关键词
集群体系/并行计算/四叉树结构/影像处理Key words
cluster architecture / parallel computing/ quad-tree structure/ image processing分类
信息技术与安全科学引用本文复制引用
曾志,刘仁义,李先涛,张丰,包卫正..一种基于分块的遥感影像并行处理机制[J].浙江大学学报（理学版）,2012,39(2):225-230,6.基金项目
国家863基金资助项目(2009AA12Z222) （2009AA12Z222）
浙江省重点攻关基金资助项目(2009C33011) （2009C33011）
浙江省自然科学基金资助项目(Y5090130) （Y5090130）
教育部博士点基金项目(200803350017). （200803350017）
