地学数据模型及数据融合技术

来源期刊：中南大学学报(自然科学版)2001年第3期

论文作者：戴塔根 邱冬生 鲍光淑 姚锐 谢文兵

文章页码：221 - 223

关键词：数据融合;拓扑关系;专家系统;多元统计; GIS

Key words：data fusion; topological relation; expert system; multi-variable statistics; GIS

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.

Abstract: This paper discussed the building of geoscientifical data-model after generally describing the basic concepts,main data-sources and general characteristics ofgeoscientifical data. Geoscientifical data-models have twotypes ofmodes: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 multisource of remote-sense. The method of data fussion in geoscience is made up of imagine interpreter, expert system, geostatistics and multi-statistics, manual-NN. It is a new attempt in geoscience, and will be a new issue for the applicationin geoscience of data fussion.