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全月球撞击坑形貌特征的识别与多指标表达

发布时间:2019-01-03 11:45
【摘要】:全月球撞击坑数据是支撑月表形貌研究以及月球工程探测和科学研究的重要基础性数据,其全面性、精确性是衡量一个国家科技水平甚至综合国力的重要指标。基于嫦娥一号、Clementine多光谱等探月数据,智能化人工提取了全月球106030个直径大于500 m的撞击坑,在IAU公布的有名称的撞击坑及其描述形貌特征指标的基础上,建立了描述全月球撞击坑形貌特征的指标体系并获得了所有撞击坑指标的属性值。针对现阶段尚无一套完整的全月球撞击坑数据库的现状,采用面向对象的Geodatabase数据模型组织全月球撞击坑数据,构建了包含位置、大小、形状、坡度、方向、中央峰、辐射纹等7个大类52个小类指标的全关系型数据库,其可对撞击坑空间数据和属性数据进行一体化管理,实现了对撞击坑数据的存储、检索、处理和应用,为其他月球科学研究基于数据库进行数据挖掘和应用提供了海量基础数据,为后续月球其他资源数据库的构建提供借鉴。今后将进一步完善更新维护全月球数据库的工作。
[Abstract]:The lunar crater data is an important basic data supporting the study of lunar surface topography and lunar engineering exploration and scientific research. Its comprehensiveness and accuracy is an important index to measure a country's scientific and technological level and even its comprehensive national strength. Based on the lunar exploration data of Chang'e 1 and Clementine, 106030 impact craters larger than 500m in diameter were extracted manually and intelligently. Based on the named impact craters published by IAU and their descriptive features, An index system describing the morphology of the lunar crater is established and the attribute values of all the craters are obtained. In view of the fact that there is no complete lunar impact crater database at present, an object oriented Geodatabase data model is used to organize the whole lunar impact crater data, and the position, size, shape, slope, direction and central peak are constructed. The whole relational database of 52 indexes in 7 categories, such as radiation stripes, can manage the spatial data and attribute data of impact crater, and realize the storage, retrieval, processing and application of impact crater data. It provides massive basic data for other lunar scientific research data mining and application based on database, and provides reference for the subsequent construction of other lunar resources database. In the future, the work of updating and maintaining the whole moon database will be further improved.
【作者单位】: 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院大学;
【基金】:国家自然科学基金项目(41171332)
【分类号】:P184

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本文编号:2399322


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