The Visualization For Remote Sensing Satellite Data Pre-Processing System

The remote sensing satellite ground pre-processing system is mainly responsible for the archiving,management,decompression,radiation correction,geometric correction and other pre-processing operation on the data received from the satellite ground station.Then generating levels of standard products,providing reliable data for further application of remote sensing.In recent years,great progress has been made in the field of earth observation technology,and the spatial resolution,spectral resolution and temporal resolution of satellite remote sensing images are greatly improved.The remote sensing satellite ground pre-processing system receives a large amount of data from the remote sensing satellites every day,however,due to the lacking of effective management,data display and analysis tools,some remote sensing satellite ground pre-processing system will give a "difficult to use" experience.In order to improve the usability of the system,first we should analyze the users of the system.The user of the system involves two kinds of roles: one is to supervise the production process of the original data,and the other is to use the final image data.Because the human visual perception system has the characteristics of high speed,large capacity,parallel and so on,a large part of the information received by the human is completed by vision.Using this principle,we can use visualization technology to improve the availability of remote sensing satellite ground pre-processing system.After analysing the status of visualization of remote sensing satellite ground pre-processing system,this paper summarizes three key points to enhance availability of system,which are visualization of remote sensing image production process,visualization of remote sensing data and visualization of the geometric location accuracy test of the remote sensing image data..The specific research is based on a typical remote sensing satellite ground pre-processing system---the VRS System(The Versatile Remote Sensing Satellite Data Processing System)developed by Chinese Remote Sensing Satellite Ground Station.We designed a better solution to meet the management personnel and the user's needs to upgrade the visualization and visualization of the original part in the VRS system.The main work of this paper is as follows:1,Realize the process visualization.Through analyzing the management of remote sensing ground pretreatment process visualization system,studied the BPMN specification,to comply with BPMN standard open source implementation of the JBPM workflow management system as the foundation,proposed the method combined with JBPM visualization module and the existing visual solutions,this method can realize the visualization process more convenient to avoid a lot of development required before the solution maintenance work.2,Realize the display of visualization of remote sensing data.Through the analysis of the needs of users to display data visualization,research on WMS standard,to conform to the WMS standard open source implementation of the MapServer based,through the integration of all levels of data can display the various levels of data visualization.Improve the reuse rate of data,users can not only view the remote sensing image data finally,and you can view the original bands,scene data,remote sensing data and metadata thumbnail radiometric correction of the various level of products etc..3,Realize the visualization of remote sensing image data accuracy evaluation.Through the analysis of user evaluation of image precision demand,research difficulties commonly used in the field of computer vision and automatic matching algorithm of multi-source remote sensing image matching.Put forward a kind of image of high resolution and with Google earth image automatic matching algorithm,the algorithm first uses the RPC parameter to reduce the matching area,and then use the SIFT algorithm to extract key points,and use the corner point and the virtual point to eliminate the SIFT key points to get a set of key points.Get the key point set,using the bidirectional matching method of similarity measure for these candidate matching points,and finally use the RANSAC algorithm to get the same point matching point,in order to realize the automatic precision evaluation of remote sensing data.