适合高分辨率遥感影像处理的分布式环境研究

随着遥感卫星的发展及遥感图像分辨率的增加，遥感图像的分布式处理变得越来越重要，应用分布式环境处理高分辨率遥感图像变得越来越迫切。传统的分布式处理主要采用B／S或C／S结构，这种结构当多用户并发访问时往往由于服务器的访问量过大而容易造成网络堵塞。在本项研究中采用了当前比较先进的网格计算及Web Service中资源共享的思想，根据高分辨率遥感图像分布式处理方面的需要，对遥感图像分布式处理框架进行了设计，并结合实际应用中的遥感图像分割对系统进行了实现。结果表明，新模型支持下的系统在多用户并发访问支持及系统优化方面都有很大的改善。

Distributed computing environment for remotely sensed image processing

With the development of remote sensing (RS) and the increase of remotely sensed image's resolution, the RS image distributed processing becomes more and more important. Traditional models of RS image processing are mainly B/S or C/S structure, which are prone to cause network jam when many users visit the system at the same time. Aimed to implement an advanced distributed RS image processing model, the merits of the resource sharing model of grid computing and web service are first analyzed, then the RS image processing model and architecture are given out based on the technology of web service, and at last the implementation of the system is presented. The result shows the new model can support more users to visit the system at the same time and the system structure also improves than ever.