CAJ | 학술논문

对于海量遥感数据处理而言,关键是如何处理大量的网络计算,借助网格整合异构计算资源的优势,设计开发适合遥感图像处理的网格计算环境和算法.本文结合实际研究,以Globus为网格中间件,CSF4为元调度器构建网格环境,依据MPICH-G2编程模式,以遥感图像增强中的平滑处理为例,在网格环境下实现遥感图像并行化处理,并处理效率进行了对比分析.
대우해량요감수거처리이언,관건시여하처리대량적망락계산,차조망격정합이구계산자원적우세,설계개발괄합요감도상처리적망격계산배경화산법.본문결합실제연구,이Globus위망격중간건,CSF4위원조도기구건망격배경,의거MPICH-G2편정모식,이요감도상증강중적평활처리위례,재망격배경하실현요감도상병행화처리,병처리효솔진행료대비분석.
Taking attention to the processing of the marine remote sensing data, the most important matter is how to handling the huge cyber compute, and design the correct image processing grid environment and algorithm using the advantage of grid conformity heterogeneous computing sources. The author used Globus as grid middleware, and CSF4 as meta-scheduler. Basing on the MPICH-G2 programming model and taking the remote sensing image smooth tackle as an example, we achieved the remote sensing image parallel processing in the grid environment and make some analysis and comparison about the processing efficiency.