Lunar Crater Rims Detection from Changs Orbiter Data Based on a Grid Environment
The surface of the moon is scarred with millions of lunar crater, which are the remains of collisions between an asteroid, comet, or meteorite and the moon with different sizes and shapes. With the launch of Changs orbiter, it is available to detect the lunar crater at a high resolution. However, the Changs orbiter image is combined by different path/orbit images. In this study, a batch processing scheme to detect lunar crater rims from each path image is presented under a grid environment. SGE (Sun Grid Engine) and OpenPBS (Open Portable Batch System) are connected by Globus and MPICH-G2 as Linux PC Cluster respectively. And the Globus GridFTP is used for parallel transfer of different rows of Changs orbiter images by MPICH-G2 model. The detection algorithms on each node are executed respectively after the parallel transfer. Thus, the lunar crater rims for the experimental area are generated effectively.
Shengbo Chen Xuqing Zhang Shengye Jin
College of Geo-exploration Science and Technology, Jilin University,Changchun 130026, China
国际会议
The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)
上海
英文
102-107
2009-08-10（万方平台首次上网日期，不代表论文的发表时间）