摘要
描述了地学数据的基本概念、主要数据来源以及地学数据的主要特征 ,讨论了地学数据模型的建立过程 .地学数据模型主要分为矢量数据和栅格数据 2种模型 ,而矢量数据模型主要由点要素、线要素和面要素组成 .此外 ,针对地学数据模型 ,探讨了数据融合技术的特点和它在地学数据中常用的方法 .数据的融合主要表现在 :互补信息和协同信息的融合、熵结构下的融合以及多源遥感数据的融合 3个方面 .在地学数据融合处理中使用的方法有 :图像处理 ,专家系统 ,地质统计学与多元统计 ,人工神经网络等 .
This paper discussed the building of geoscientifical data model after generally describing the basic concepts, main data sources and general characteristics of geoscientifical data. Geoscientifical data models have two types of modes: vector and raster. Vector is made up of point, line and polygon. Based on the characteristic of geoscientifical data model, the application of data fusion and the general method used in geoscientifical data are discussed. Data fusion is mainly expressed by fusion of information of supplement and cooperation, fusion under entropy′s structure, fussion of multi source of remote sense. The method of data fussion in geoscience is made up of imagine interpreter, expert system, geo statistics and multi statistics, manual NN. It is a new attempt in geoscience, and will be a new issue for the application in geoscience of data fussion.
出处
《中南工业大学学报》
CSCD
北大核心
2001年第3期221-223,共3页
Journal of Central South University of Technology(Natural Science)
基金
湖南省计委科研基金资助项目 (国家计委计司国地 (1997) 2 0号 )
