Tentative construction of satellite data management and service system for ZY-1 02C

doi:10.6046/gtzyyg.2014.01.30

Abstract
References
Related Articles
Metrics

Download: PDF(1457 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

In order to meet the management and service needs of China's first self-developed high-resolution satellite for earth resources investigation proposed by related land and resources department, the authors designed and developed the C/S-based data management subsystem and the B/S-based data services subsystem of ZY-1 02C, with the propose of spreading the application of ZY-1 02C data relying on the existing hardware and software environment of land and resources field. Functions such as timely storage of mass data, efficient distribution and real-time online inquiries were completed in this system. The study and development of this system can provide basic data protection for spreading utilization of ZY-1 02C data in land and resources field and also lay a theoretical and practical foundation for the subsequent earth resource satellite application system in China which integrates many functions (such as data reception, processing, interpretation, and information sharing service) into one function.

Keywords ant colony intelligent optimization algorithm(ACIOA) vegetation partition multi-character data remote sensing classification

TP311

Issue Date: 08 January 2014

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

	YU Feifei
	ZENG Yongnian
	XU Yanyan
	ZHENG Zhong
	LIU Zhaosong
	WANG Jun
	HE Jinqiang

Cite this article:

YU Feifei,ZENG Yongnian,XU Yanyan, et al. Tentative construction of satellite data management and service system for ZY-1 02C[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 179-185.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.01.30 OR https://www.gtzyyg.com/EN/Y2014/V26/I1/179

[1] 中国资源卫星应用中心.资源一号02C卫星[EB/OL].[2012-07-25].http://www.cresda.com/n16/n1130/n175275/175577.html. China Centre for Resources Satellite Data and Application.ZY-1 02C[EB/OL].[2012-07-25].http://www.cresda.com/n16/n1130/n175275/175577.html.

[2] 彭齐鸣.资源卫星在国土资源领域应用及发展建议[J].国土资源遥感, 2009, 21(1):1-2. Peng Q M.Application and development proposals of resource satallite in the field of land and resources[J].Remote Sensing for Land and Resources, 2009, 21(1):1-2.

[3] 高平, 方洪宾, 刘顺喜, 等.国土资源部CBERS-02B星"主用户"应用机制研究[J].国土资源遥感, 2009, 21(1):3-6. Gao P, Fang H B, Liu S X, et al.The"principal user"application mechanism of the MLR CBERS-02B satellite[J].Remote Sensing for Land and Resources, 2009, 21(1):3-6.

[4] 黄炜, 周伟, 张渊.实现SAN环境下的文件共享与归档的捷径[N].中国计算机报, 2011-08-22(33). Huang W, Zhou W, Zhang Y.Realize shortcut of file sharing and archive based on SAN environment[N].China Information World, 2011-08-22(33).

[5] 杜晓, 晋佩东, 郭大海, 等.遥感影像快速入库和元数据提取系统的研究[J].国土资源遥感, 2006, 18(3):80-84. Du X, Jin P D, Guo D H, et al.Researchs on the rapid importing of remote sensing images and metadata acquiring system[J].Remote Sensing for Land and Resources, 2006, 18(3):80-84.

[6] 汪林林, 胡德华, 王佐成, 等.基于Flex的RIA WebGIS研究与实现[J].计算机应用, 2008, 28(12):3257-3260. Wang L L, Hu D H, Wang Z C, et al.Research and realization of RIA WebGIS based on Flex[J].Computer Applications, 2008, 28(12):3257-3260.

[7] 钟广锐.基于ArcGIS Flex API的WebGIS设计[J].测绘科学, 2012, 37(3):147-149. Zhong G R.The design of WebGIS based on ArcGIS Flex API[J].Science of Surveying and Mapping, 2012, 37(3):147-149.

[8] 董星宏, 和朝霞, 段锋."天地图"在地震行业中的应用初探[J].地震研究, 2011, 34(4):552-557. Dong X H, He Z X, Duan F.Application of map world in the seismological field[J].Journal of Seismological Research, 2011, 34(4):552-557.

[9] 国家测绘地理信息局.天地图服务资源[EB/OL].[2013-03-18].http://www.tianditu.cn/guide/index.html. National Administration of Surveying, Mapping and Geoinformation.Mapworld service resources[EB/OL].[2013-03-18].http://www.tianditu.cn/guide/index.html.

[10] 闫相斌, 李一军, 梁迎春, 等.我国资源卫星的社会效益及其CVM评价[J].系统工程理论与实践, 2009, 29(7):69-76. Yan X B, Li Y J, Liang Y C, et al.Social benefit of China earth resource satellite and its CVM evaluation method[J].Systems Engineering-Theory and Practice, 2009, 29(7):69-76.

[1]	Biqing WANG, Wenquan HAN, Chi XU. Winter wheat planting area identification and extraction based on image segmentation and NDVI time series curve classification model[J]. Remote Sensing for Land & Resources, 2020, 32(2): 219-225.
[2]	YU Feifei, ZENG Yongnian, XU Yanyan, ZHENG Zhong, LIU Zhaosong, WANG Jun, HE Jinqiang. Intelligent remote sensing classification of multi-character data based on vegetation partition[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 63-70.
[3]	REN Guangbo, ZHANG Jie, MA Yi, SONG Pingjian. Extending method of remote sensing image training sample based on semi-supervised learning in both time and spatial domain[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 87-94.
[4]	PENG Zheng-Lin, Mao-Xian-Cheng, Liu-Wen-Yi, He-Mei-Xiang. Method for Classification of Remote Sensing Images Based on Multiple Classifiers Combination[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 19-25.
[5]	LI Hua-Peng, ZHANG Shu-Qing, SUN Yan. The Quantitative Evaluation of Remote Sensing Data for Supervised Evidential Classification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 26-32.
[6]	CHEN Qiu-xiao, LUO Jian-cheng, ZHOU Cheng-hu. MULTIPLE FEATURES BASED ANALYSIS OF REMOTELY SENSED IMAGERY: A NEW PERSPECTIVE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(1): 5-7，28.

Viewed

Full text

Abstract

Cited

Shared

Discussed