Abstract
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 Chang’s orbiter, it is available to detect the lunar crater at a high resolution. However, the Chang’s 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 Chang’s 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.
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Chen, S., Zhang, X., Jin, S. (2010). Lunar Crater Rims Detection from Chang’s Orbiter Data Based on a Grid Environment. In: Zhang, W., Chen, Z., Douglas, C.C., Tong, W. (eds) High Performance Computing and Applications. Lecture Notes in Computer Science, vol 5938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11842-5_12
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DOI: https://doi.org/10.1007/978-3-642-11842-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11841-8
Online ISBN: 978-3-642-11842-5
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