A REMOTE SENSING IMAGE CLOUD PROCESSING SYSTEM BASED ON HADOOP

摘要：

　　Nowadays,the increase of quality and resolution of remote sensing image will lead to the datas capacity extremely increase; A single computer,even a very expensive minicomputer or a PC server,is difficult to meet the disk space,memory space and processing time requirements when.faced with this situation.Cloud computing can give us a new resolution to these problems.In this study,we proposed a Hadoop-based remote sensing image processing system (HBRSIPS),on the one hand,it re-defines a storage structure to adapt the characters of remote sensing images,on the other hand,We construct Java program classes based on MapReduce architecture,remote sensing image processing algorithms can be easily applied to the cloud computing environment.The experiments show,the proposed system can save remote sensing image into Hadoops distribute storage environment and algorithms based on cloud environment were faster than single process algorithm.

关键词： Hadoop Cloud computing Remote sensing Distribute file system MapReduce

作者: Xin Pan Suli Zhang

作者单位: School of Electrical & Information Technology,Changchun Institute of Technology,Changchun 130012,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 650-652

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）