Study Of Rapid Processing Of Mass Remote Sensing Data Based On P2P Technology

In recent years, with the development of aerospace and aviation remote sensing technology, the amount of satellite remote sensing data is increasing at an alarming rate. How to process the quickly vast amounts of remote sensing data has become a very important issue. Now the research and application of remote sensing data are becoming more thoroughly, making the remote sensing algorithm more and more complex, which directly led to remote sensing image processing time is greatly increased, can not meet the requirements of remote sensing image fast processing, and caused waste of a large number of remote sensing images.In order to achieve fast processing of massive remote sensing data, the paper design and implement a fast processing platform of remote sensing data based on P2P technology. In the design and implementation of fast processing platform of remote sensing data, this article from the computational efficiency, stability analysis and multi-tasking computing the three aspects of platform for distributed computing research. Computational efficiency rating for the proposed method of calculation based on probabilistic analysis of the efficiency of evaluation of formulas for stability analysis in the solution of computing nodes Linear stability analysis of such issues as strategies for multi-task basis, the proposed queue-based calculation of multi-task allocation and scheduling mechanism. These research results provide a theoretical basis of achieving good performance, stability, strong, massive task of processing large amount of fast processing platform remote sensing data.During the construction of fast processing platform of remote sensing data, use SUN's P2P technology JXTA as the basis to achieve network communication platform, which simplifies the development of prototype system. First, the prototype system architecture and network topology, then the design of the prototype system in a detailed description, and finally given some of the prototype system implementation code.Finally, during the test and analysis of application examples of the rapid processing of remote sensing data platform prototype system, experiments show that in this paper provides theoretical support of fast processing platform from the study of three aspects of the efficiency of calculation stability analysis and multi-mission in achieving good performance, stability and massive task of processing large amount of remote sensing data.