摘要
遥感系统的不断发展及其应用领域的扩展,致使海量遥感数据快速处理的要求与处理资源不足的矛盾日益突出,利用分布式的处理策略是解决这一矛盾的有效方法。在分析遥感图像数据处理面临问题的基础上,运用Condor建立了实用性的分布式处理软硬件环境,编写了适宜于该环境应用的基本遥感处理的算法模型和任务描述脚本,实现了遥感数据基本处理的分布式操作,最后对分布式环境下的遥感数据处理性能进行了分析。
With the rapid development of remote sensing system and its unceasing expansion of application area, the contradiction between the fast processing requirement of magnanimous remote sensing data and the insufficient processing resources is prominent day by day. The effective method to solve this contradiction is the distributed processing policy. Based on the analysis of the question faced in remote sensing image data processing, the practicable distributed processing software and hardware environment is established by using Condor. The basic processing al- gorithm model of remote sensing data and the duty description script are designed for adapting the environment, re alizing the distributed operation of basic processing for the remote sensing data. At last, the processing performance of remote sensing data under the distributed environment has been analyzed.
出处
《山东科技大学学报(自然科学版)》
CAS
2008年第6期5-8,28,共5页
Journal of Shandong University of Science and Technology(Natural Science)
基金
国家重点基础研究发展计划("973"计划)项目(2006CB701303)
山东省基础地理信息与数字化技术重点实验室开放基金项目(SD080711)
山东科技大学科学研究"春蕾计划"项目(2008BZC074)
关键词
分布式
处理
遥感数据
CONDOR
效率
distributed
processing
remote sensing data
Condor
efficiency