Research Of Satellite Remote Sensing Images Prcocessing System Based On OpenGL And GDAL

As the remote sensing technology being used widely more and more,the market maturegeneric satellite remote sensing image processing software often have the followingdisadvantages: poor scalability, high requirements for hardware and software configurations.This does not fully meet the specific needs of different sectors of remote sensing imageprocessing,and the generic software only provide the results,but no provide detail processsand no a complet functional interface.For example,in the use of ArcGIS Engine which is more popular in geographicinformation processing to secondary develop satellite imaging systems,and found that athird-party platform developed based on remote sensing image processing system deficienciesstill exist,because of the limits of ArcGIS Engine,it can not arbitrary scene rendering graphicsin the image.So, it is necessary to develop a completely independent code of satellite remotesensing image processing system.This paper set a program of using MFC and OpenGL to develop a satellite imageprocessing system by describing the advantages and featuresof OpenGL3D Graphicsinterface, analyzing the possibility of using it to build a system.Which, by learning GDAL raster data processing library, useing it to remote sensing dataprocessing, including reading data, building pyramids, extracting geographic information,coordinate conversion.This article also apply to three types of parallel programming model processing of remotesensing image processing to improve server efficiency of remote sensing data processing.Finally, the paper analyzes the Hadoop HDFS file system and MapReduce features, set asolutions of the server storage management of a large number of remote sensing images andancillary data by using distributed file systems.