[1] Wang Yi. The development of the Earth observation system[J]. Advances in Earth Science, 2005, 20(9): 980-989.[王毅.新一代对地观测系统的发展[J].地球科学进展,2005,20(9):980-989.] [2] Li Deren, Tong Qingxi, Li Rongxing, et al. Current issues in high-resolution Earth observation technology[J]. Science in China (Series D), 2012, 42(6): 805-813.[李德仁,童庆禧,李荣兴,等.高分辨率对地观测的若干前沿科学问题[J].中国科学:D辑,2012,42(6):805-813.] [3] Max Craglia, Kees de Bie, Martino Pesaresi, et al. Digital Earth 2020: Towards the vision for the next decade[J]. International Journal Digital Earth, 2012, 5: 4-21. [4] Li Deren. Opportunities for geomatics[J]. Geomatics and Information Science of Wuhan University, 2004, 29(9): 753-756.[李德仁.地球空间信息学的机遇[J].武汉大学学报:信息科学版,2004,29(9):753-756.] [5] Li Deren, Shen Xin. Intelligent Earth observing system[J]. Science of Surveying and Mapping, 2005, 30(4): 9-11.[李德仁,沈欣.论智能化对地观测系统[J].测绘科学,2005,30(4):9-11.] [6] Rong Xie, Ryosuke Shibasaki. Creating a satellite-data integration system[J]. GIM International, 2006, 20(12): 21-23. [7] Gong Jianya. Advances in Earth Observation Data Processing and Analysis[M]. Wuhan: Wuhan University Press, 2007.[龚健雅.对地观测数据处理与分析研究进展[M].武汉: 武汉大学出版社,2007.] [8] James Manyika, Michael Chui, Brad Brown, et al. Big Data: The Next Frontier for Innovation, Competition, and Productivity[R]. McKinsey Global Institute,2011. [9] Daniel Sui, Sarah Elwood, Michael Goodchild. Introduction: Volunteered geographic information, the exaflood, and the growing digital divide[M]∥Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. New York: Springer, 2013: 1-14. [10] Big Data Expert Committee of China Computer Federation. White Paper of Big Data Technologies and Industry Development in China[Z]. Beijing: China Computer Federation, 2013.[中国计算机学会大数据专家委员会.中国大数据技术与产业发展白皮书[Z].北京:中国计算机学会,2013.] [11] Yu Xing. The bigdata tool for geochemical study of seabed rocks—PetDB and its application in geoscience[J]. Advances in Earth Science, 2014, 29(2): 306-314.[余星.海底岩石地球化学研究中的“大数据”——PetDB及其应用[J].地球科学进展,2014,29(2):306-314.] [12] Li Guoqing, Wu Yanhui. Scientific research of Earth observation in era of big data[J]. China Computer Society Newsletter, 2013, 9(9): 27-31.[李国庆,邬延辉.大数据时代的对地观测科学研究[J].中国计算机学会通讯,2013,9(9):27-31.] [13] Zhou Xiaofang, Lu Jiaheng, Li Cuiping, et al. Challenges of big data from the perspective of data management[J]. China Computer Society Newsletter, 2012, 8(9): 16-20.[周晓方,陆嘉恒,李翠平,等.从数据管理视角看大数据挑战[J].中国计算机学会通讯,2012,8(9):16-20.] [14] Qin Xiongpai, Wang Huiju, Du Xiaoyong, et al. Big data analysis—Competition and symbiosis of RDBMS and MapReduce[J]. Journal of Software, 2012, 23(1): 32-45.[覃雄派,王会举,杜小勇,等.大数据分析——RDBMS 与MapReduce 的竞争与共生[J]. 软件学报,2012,23(1):32-45.] [15] Yang Bingxin. Brief introduction to Xiangshan science conferences of nos[J]. China Basic Science, 2012, 14(4): 22-29.[杨炳忻.香山科学会议第420-424 次学术讨论会简述[J].中国基础科学,2012,14(4):22-29.] [16] Gong Xueqing, Jin Cheqing, Wang Xiaoling ,et al. Data-intensive science and engineering: Requirements and challenges[J]. Chinese Journal of Computers, 2012, 35(8): 1 563-1 578.[宫学庆,金澈清,王晓玲,等.数据密集型科学与工程:需求和挑战[J].计算机学报,2012,35(8):1 563-1 578.] [17] Wang Shan, Wang Huiju, Qin Xiongpai, et al. Architecting big data: Challenges, studies and forecasts[J]. Chinese Journal of Computers, 2011, 34(10): 1 741-1 752.[王珊,王会举,覃雄派,等.架构大数据:挑战、现状与展望[J].计算机学报,2011,34(10):1 741-1 752.] [18] Ma Shuai, Li Jianxin, Hu Chunming. Challenging and thinking of big data science and engineering[J]. China Computer Society Newsletter, 2012, 8(9): 22-30.[马帅,李建欣,胡春明.大数据科学与工程的挑战与思考[J].中国计算机学会通讯,2012,8(9):22-30.] [19] Li Guojie. The scientific value of big data research[J]. China Computer Society Newsletter, 2012, 8(9): 8-15.[李国杰.大数据研究的科学价值[J].中国计算机学会通讯,2012,8(9):8-15.] [20] International Organization for Standardization. ISO/TC 211-Geographic information/Geomatics[S/OL].(2005-07-28)[2015-01-24].http:∥www.iso.org/iso/home/store/catalogue_tc/catalogue_tc_browse.htm?commid=54904. [21] OGC. The OpenGIS Abstract Specification[S/OL].(2005-07-28)[2015-01-24].http:∥www.opengeospatial.org/standard/as. [22] Gu Xingfa. Development Status and Prospects of China Earth Observation System[R]. Wuhan: Wuhan University, 2010.[顾行发.中国空间对地观测体系发展现状与前瞻[R].武汉:武汉大学,2010.] [23] State Administration of Science, Technology and Industry for National Defense[EB/OL]. China Major Projects of High-Resolution Earth Observation System, 2007.[2015-04-06]. http:∥www.sastind.gov.cn/n25770/index.html.[国家国防科技工业局[EB/OL]. 中国高分辨率对地观测系统重大专项网, 2007.[2015-04-06]. http:∥www.sastind.gov.cn/n25770/index.html.] [24] Gu Xingfa. Thinking of Industry Development of China’s Satellite Applications[R]. Wuhan: Wuhan University, 2010.[顾行发.我国卫星应用产业发展思考[R].武汉:武汉大学,2010.] [25] Dai Weimin. Techniques and Methods of Semantic Web Information organization[M]. Shanghai: Academia Press, 2008.[戴维民.语义网信息组织技术与方法[M].上海:学林出版社,2008.] [26] Rong Xie, Ryosuke Shibasaki. Imagery metadata development based on ISO/TC 211 standards[J]. CODATA Data Science Journal, 2007, 6(3): 28-45. [27] Hua Yu, Jiang Hong, Zhu Yifeng, et al. SmartStore: A new metadata organization paradigm with semantic-awareness for next-generation file systems[C]∥Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2009: 1-12. [28] Zeng Shaobin, Xie Chuanjie, Li Jiaqi, et al. Parallel fusion for remote sensing images based on grid services[J]. Journal of Geo-Information Science,2010, 12(2): 269-274.[曾少斌,谢传节,李佳琪,等.基于网格服务的遥感图像并行融合[J].地球信息科学学报,2010,12(2):269-274.] [29] Li Shengyang, Zhang Aijun, Zhu Chongguang, et al. Fast processing of grid-based remote sensing images[J]. Computer Engineering, 2007, 33(6): 35-37.[李盛阳,张爱军,朱重光,等.基于网格的遥感图像快速处理[J].计算机工程,2007,33(6):35-37.] [30] Dhruba Borthakur. The Hadoop Distributed File System: Architecture and Design[R]. The Apache Software Foundation, 2007. [31] Jeffrey Dean, Sanjay Ghemawat. MapReduce: Simplified data processing on large clusters[J].Communications of the ACM, 2008, 51(1): 107-113. [32] Kyuseok Shim. MapReduce Algorithms for Big Data Analysis, Proceedings of 8th International Workshop[C]. Berlin: Springer-Verlag Heidelberg, 2013: 44-48. [33] Thomas Erl, Ricardo Puttini, Zaigham Mahmood. Cloud computing: Concepts, Technology & Architecture[M]. New York: ServiceTech Press, 2013. [34] Navid Golpayegani, Milton Halem. Cloud computing for satellite data processing on high end compute clusters[C]∥IEEE International Conference on Cloud Computing. Bangalore, India, 2009: 88-92. [35] Lu Junjie, Hou Weizhen. Construction of e-government cloud platform oriented information resources integration[J]. Library Studies, 2012, 13: 36-40.[鲁俊杰,侯卫真.面向信息资源整合的电子政务云平台构建研究[J].图书馆学研究,2012,13:36-40.] |