遥感影像样本大数据建库与应用方法

研究一种基于关系型数据库与分布式文件系统融合的遥感影像解译样本大数据建库方法.解析了数据库建设过程，讨论了建库关键技术问题与解决方法；在建成样本数据库基础上，研究了样本数据应用方法，分析了几种应用实例，探索了样本数据应用模式；以选取的研究区域内大规模样本数据为对象，验证了数据库建设中数据处理过程及效率，同时，以地理国情普查分类体系中地表覆盖10个一级类为例，对研究区域各类别样本空间分布与密度等特征进行了分析.结果表明：利用关系型数据库与分布式文件系统融合的方法对样本大数据进行建库与管理，对样本数据的检索、分析及推广应用，具有很好的效能和适用性.

Database Construction and Its Application of Sample Big Data Collected in Remote Sensing Image

A database construction method which is based on the integration of relational database and distributed file system is researched for a large sample data base for interpretation of remote sensing images. It analyzes the database''s construction process, and discusses the key technical problems and solution method. Based on the sample database, it studies the application method of sample data, analyzes some kinds of using cases and explores the application mode of sample data. Individual region''s massive sample data are selected for verifying the method and its efficiency. At the same time, it takes 10 first-level classes which are defined in the land cover classification system for example, to analyze the spatial distribution and density characteristics of all kinds of sample data. The results show that the method of database construction and management which is based on the integration of relational database and distributed file system is very effective and applicative for sample data''s searching, analyzing and promoted application.