The Research On Key Technology Of Moon Exploration Data Analysis And Management

Chang’e I is the first lunar orbiter launched by China, it was successfully launchedfrom the Xichang Satellite Launch Center on October24,2007. the Long March IIIcarrier went up from they stand heading Chang’e II tfrom the Xichang launchcenter,and then Chang’e2directly flying into the orbit of the moonAt6:59:57p.m.on October1st,20I0, this is the second deep space detector that launched by ourcountry which will be China’s lunar exploration project and a step forward. Chang’e Iand the Chang’e II returned vast amounts of data to Earth, which provide valuablefirst-hand information for a comprehensive study of the launch of the lunar. Inaddition, lunar remote sensing data and products published by the United States andother countries in the international provide an important reference value for our lunarresearch work. Therefore, how to efficiently analyze lunar exploration data miningusing multi-source is of great significance for China’s lunar research, the effectivemanagement of huge amounts of data acquired by the Chang’e I satellite as well asvarious results and maps.This paper collect the raw data, intermediate data products, research results, mapsand other basic data since China’s Chang’e lunar exploration project, and lunarexploration information around the world, then establish lunar exploration data basedatabase, study processing process and related key technologies of Chang’e satelliteCCD and LAM data, contrast a variety of effects, generate global images and andtopographic data applicable to the following automatic identification work.this paper design a variety of crater automatic identification method that applyingto Chang’e I data based on the analysis of the existing crater recognition method,optimize and integrate a large-scale lunar craters automatic identification technologysystem applicable to the complex environment, and establish a large-scale impactcraters automatic recognition model taking the northern part of Mare Imbrium of as amodel district. Finally, this paper carries the experiment of automatic identification ofthe lunar positive impact craters for the guidance of the automatic recognition model.Finally, this paper designed and achieved a data management system comprisedby. NET platform, MSSQL Server database, ArcSDE spatial database middleware, onArcEngine technologies, which realized effective management and application ofhuge amounts of data, the system combines three-dimensional data visualization,thematic map overlays, data retrieval, and provide strong support for related research.