位置:成果数据库 > 期刊 > 期刊详情页
基于ISO元数据扩展模型的土地覆盖遥感分类体系框架研究
  • 期刊名称:地球信息科学
  • 时间:0
  • 页码:6781-6786
  • 语言:中文
  • 分类:TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] Q948.15[生物学—植物学]
  • 作者机构:[1]中国科学院地理科学与资源研究所,北京100101, [2]中国科学院研究生院,北京100003
  • 相关基金:国家自然科学基金项目(40801180);国家科技基础条件平台项目--地球系统科学数据共享网(2005DKA32300);中国科学院地理科学与资源研究所知识创新工程新进所青年人才领域前沿项目资助.
  • 相关项目:基于ISO元数据扩展模型的土地覆盖分类体系构建及语义转换
中文摘要:

由于研究主题和应用目的的不同,国内外已经存在和正在产生着越来越多的遥感数据源的土地覆盖分类体系。这不仅使得分类体系缺乏可扩展性与互操作性,而且使得不同分类体系的土地覆盖数据难以对比、交换和集成。本文借鉴ISO19115地理信息元数据的扩展经验,设计了基于ISO元数据扩展模型的土地覆盖分类体系框架,并研究其动态扩展方法。提出一种包括核心分类、全集分类和专题应用分类的三层土地覆盖可扩展分类体系框架。其中,核心分类是从国内外主要的土地利用/覆盖分类系统中抽取的共性分类元素;全集分类收集全部可能的土地覆盖分类元素;专题应用分类通过对核心分类的继承,和对全集分类的裁剪和扩展生成。该分类框架将为土地利用/覆盖的研究和应用提供一种科学的、可比的动态分类扩展模型和方法。

英文摘要:

Land cover information plays an important role not only in social-economic development but also in scientific research area. With the development of the information technology, remotely sensed images provide main data sources for land cover information and knowledge extraction in real time. While there are lots of land cover classification systems in the world facing to different research targets and objectivities and with the crossing of multidisciplines and expanding of the research area, more and more land cover classification systems are designed. This causes the difficulties for datasets' exchange, integration and fusion which use different classification systems. The problems facing land cover classification systems are similar with the problem of metadata standards. Faced with this problem, ISO TC211 designs an extensive metadata standard framework for geographic data, and draws up the ISO Metadata Standard 19115. Enlightened by the ISO 19115 metadata extensible framework, the paper brings forward the land cover extensible classification framework. The framework is composed of 3 tiers, i. e. , land cover core classes, schema classes and application main international land use/land cover classification system. profile classes. The core classes are derived from the Schema classes inherit and extend core classes. Extensive principle and methods are designed in this framework. This ensures many application classification profiles can be extended from the core classes and schema classes easily while the designed extensive land cover classification system should be tested and perfected through more and more real applications.

同期刊论文项目
同项目期刊论文