遥感数据集成管理及高性能处理的研究取得重要进展

近期，遥感数据集成管理及高性能计算团队在：多数据中心环境下的海量遥感数据集成、空间索引、分布式查询、高性能处理、遥感产品生产、遥感云计算等方面取得重要进展，发表了多篇SCI检索论文，并构建了基于虚拟化资源池的遥感云处理系统。

 研究成果

(1) Jining Yan, Lizhe Wang, Kim-Kwang Raymond Choo and Wei Jie. A cloud-based remote sensing data production system. Future Generation Computer Systems. 2017. http://dx.doi.org/10.1016/j.future.2017.02.044. (T2)

(2) Fan Junqing, Yan Jining, Ma Yan, Wang Lizhe. Big Data Integration in Remote Sensing across a Distributed Metadata-Based Spatial Infrastructure. Remote Sensing. Remote Sens. 2017, 10, 7; doi:10.3390/rs10010007. (T2)

(3) Rajiv Ranjan, Lizhe Wang, Prem Prakash Jayaraman, Karan Mitra, Dimitrios Georgakopoulos: Special issue on Big Data and Cloud of Things (CoT). Softw., Pract. Exper. 47(3): 345-347 (2017)

(4) Fang Huang, Qiang Zhu, Ji Zhou, Jian Tao, Xiaocheng Zhou, Du Jin, Xicheng Tan, Lizhe Wang: Research on the Parallelization of the DBSCAN Clustering Algorithm for Spatial Data Mining Based on the Spark Platform. Remote Sensing 9(12): 1301 (2017) (T2)

(5) Yuzhu Wang, Jinrong Jiang, He Zhang, Xiao Dong, Lizhe Wang, Rajiv Ranjan, Albert Y. Zomaya: A scalable parallel algorithm for atmospheric general circulation models on a multi-core cluster. Future Generation Comp. Syst. 72: 1-10 (2017) (T2)

(6) Ze Deng, Wei Han, Lizhe Wang, Rajiv Ranjan, Albert Y. Zomaya, Wei Jie: An efficient online direction-preserving compression approach for trajectory streaming data. Future Generation Comp. Syst. 68: 150-162 (2017) (T2)