Research on distributed geocomputation environment adapting to remotely sensed image processing

With the development of remote sensing technique and image processing technique, more and more tremendous, distributed image data and processing algorithms resources can't be used efficiently because of the amount of data and information, and the difficulty of duplication and transferring through network. So, this paper focues on the distributed Geocomputation environment to suffice the remotely sensed image mining and processing, and presents a novel architecture using registry mechanism which refers the mind of Grid Computing. Meanwhile, according to our current research works, the efficiency of web services and other reasons, a prototype system has been implemented and built based on J2EE, XML, and Database technology. In the paper, after discussing the problems faced in remotely sensed image processing, we analyze some key solutions. Moreover, we also introduce and analyze the architecture, logical model and running workflow of the prototype system. After that, through an example about OTSU algorithm running in the prototype system, we give out the key points of implementation details. At last, we conclude our work and plan the next step what to do.