基于Silverlight的多层架构遥感影像查询系统

Silverlight-based satellite images querying system with multi-tier architecture

随着需求日益多样化、复杂化,传统的Web版遥感影像查询系统,存在用户交互能力弱,服务器响应速度慢,离线操作能力差等弱点,而且传统的查询系统没有与农作物监测很好结合。针对以上不足,该文结合Silverlight技术、LINQ技术、WCF技术,运用多层架构思想,针对轨道固定和变化的2种卫星,设计了2种遥感影像数据的快速查询算法,建立了一个适合农作物监测的基于Silverlight的遥感影像查询系统。实验结果表明,该算法提高了查询的执行效率和系统的响应速度,系统响应时间比传统系统缩短了25%。同时增强了系统的离线操作能力,减轻了服务器的压力,能够较好地应对大量用户并发访问。该系统在遥感影像快速查询和农情监测及农作物估产方面有较好的应用前景。

With the increasing demand for querying images, the traditional Web querying system of remote sensing images can not meet the needs because of its shortcomings, including weak user interaction capabilities, slow responding speed of the server, and the poor offline operation ability. Furthermore, it is known that traditional querying system does not concern the needs of crops remote sensing monitoring. So a new satellite images querying system was set up based on Silverlight technology using LINQ and WCF technologies with a thought of multi-tier architecture, which can be applied easily to monitor crops growing via remote sensing. In this system, two fast-querying algorithms of both orbit-fixed and orbit-varied satellites were advocated, which not only can improve the system efficiency, but also enhance the system offline operation ability. The results show that, System response time shorter than the traditional system by 25%, meanwhile can reduce the server load. In conclusion, the new querying system has the ability of dealing with concurrent access by a large number of users in the same time. The system has good application prospects in fast Query of remote sensing images, agricultural condition monitoring and crop yield estimation.