Fast distributed and parallel pre-processing on massive satellite data using grid computing
来源期刊：中南大学学报(英文版)2014年第10期
论文作者：Wongoo Lee Yunsoo Choi Kangryul Shon Jaesoo Kim
文章页码：3850 - 3855
Key words：satellite data; image processing; computation intensive computing
Abstract: Distributed/parallel-processing system like sun grid engine (SGE) that utilizes multiple nodes/cores is proposed for the faster processing of large sized satellite image data. After verification, distributed process environment for pre-processing performance can be improved by up to 560.65% from single processing system. Through this, analysis performance in various fields can be improved, and moreover, near-real time service can be achieved in near future.
Wongoo Lee, Yunsoo Choi, Kangryul Shon, Jaesoo Kim
(NTIS Center, Korea Institute of Science and Technology Information, 245 Daehak-ro, Yuseong-gu, Daejeon, Korea)
Abstract:Distributed/parallel-processing system like sun grid engine (SGE) that utilizes multiple nodes/cores is proposed for the faster processing of large sized satellite image data. After verification, distributed process environment for pre-processing performance can be improved by up to 560.65% from single processing system. Through this, analysis performance in various fields can be improved, and moreover, near-real time service can be achieved in near future.
Key words:satellite data; image processing; computation intensive computing
