Study On OGC Standards-based Sharing Serices Of Massive Remote Sensing Data

In recent years, along with rapid development of IT technology, GIS technology, Web technology and high-resolution earth observation technology, the resolution remote sensing image data increasingly high volume of data has become soar, such a large amount of data remote sensing data sharing in the needs of various industries also showed growing trend. Imagery doubled, how orderly and efficient storage, organization and management of these large data volume image data, and the formation of a unified storage organizational norms, and thus achieve rapid and effective remote sensing data sharing and publishing services, spatial information science has become a serious problem.This paper analyzes the Institute of Remote Sensing Data Organization raised tile tile data structure and the traditional organizational structure that will compare the two results show that this kind of structure cuts ideas can not only produce better digital images corresponding to the daily scale, and can effectively avoid some level of tile size may produce complex floating-point problem. In order to test its practical application performance, analyze its possible shortcomings, the paper design and initial implementation of OGC standards-based five-fifteen tiles Data Web Map Service (WMSs), provides a simple distributed geospatial databases from remote sensing data requested Web Interface; five fifteen tile data using distributed storage strategy, through direct addressing method for precise search, a large amount of data to achieve standardization of tile data storage and rapid retrieval; addition, the study and achieve the client mosaic tile data automatically and display.Based on the above technical methods, this paper Ya'an earthquake reconstruction information system, for example, was constructed based on a large amount of data on Web GIS remote sensing information sharing service prototype system to be tested five fifteen data release, the initial realization of large amount of data Remote Sensing image data online sharing function. Meanwhile, according to actual needs, design and implementation of multi-source data browsing, geographic information services, disaster information services and public consultation services and other functions, for the disaster damage assessment, reconstruction and long-term monitoring of integrated monitoring play a good role in promoting.