Research on the typical parallel processing algorithm of massive remote sensing data
- https://doi.org/10.2991/icmii-15.2015.89How to use a DOI?
- Big data. parallel processing. OpenMP.
With the rapid development of the earth observation technology, remote sensing image data is exponential growth, which has a huge challenge to the existing remote sensing processing system. Because of the limitation of single machine processing capability, the processing speed of single machine algorithm has been greatly improved. So the high performance parallel clustering technology is used. In this paper, the characteristics of remote sensing image geometric features, complex features and large data processing requirements of the algorithm are discussed. The parallel processing technology is studied. The parallel architecture and parallel computing models are discussed. The relationship between the number of threads and the number of cores is discussed. The experimental results are discussed. The running time of the system is influenced by the number of threads and the hardware.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jinlin Yang AU - Dandan Fan AU - Xiaoshen Xu PY - 2015/10 DA - 2015/10 TI - Research on the typical parallel processing algorithm of massive remote sensing data BT - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics PB - Atlantis Press SP - 517 EP - 524 SN - 2352-538X UR - https://doi.org/10.2991/icmii-15.2015.89 DO - https://doi.org/10.2991/icmii-15.2015.89 ID - Yang2015/10 ER -