摘要
为能在森林火灾发生后快速获取火情信息和共享异地资源,提出一种基于高性能集群计算平台的林火监测算法。介绍基于多处理器的高性能计算平台,以及卫星图像火点识别算法的并行化实现方法,对影响运行效率的各种因素进行对比分析。实验结果表明,在已选择合理并行任务数的情况下,该算法可有效提高执行效率。
This paper introduces a forest fire monitoring algorithm based on high-performance cluster computing platform,when the forest fire happens,to get fire information and share different data resources quickly.It introduces the high performance computing platform based on processors,and the parallelization realization of fire identification algorithm based on satellite image,analyzes various factors which affects the operation efficiency.Experimental results show that when chooses the rational number of parallel task,the algorithm can effectively improve the efficiency.
出处
《计算机工程》
CAS
CSCD
2012年第7期290-292,F0003,共4页
Computer Engineering
基金
国家"863"计划基金资助项目(2008AA121502)
国防科工局专项基金资助项目(E0305/1112/05)
关键词
遥感技术
集群
并行化
运行效率
林火
remote sensing technology
cluster
parallelization
operation efficiency
forest fire
