A region-based, graph-theoretic data model for the inference of second-order thematic information from remotely-sensed images

被引：31

作者：

Barr, S

Barnsley, M

机构：

[1] Department of Geography, University of Wales Swansea, Swansea, SA2 8PP, Singleton Park

来源：

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE | 1997年 / 11卷 / 06期

基金：

英国自然环境研究理事会;

关键词：

D O I：

10.1080/136588197242194

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A graph-theoretic data model, XRAG (eXtended Relational Attributed Graph), is described. The model and its associated data structure can be used to represent the structural properties (morphological and symbolic) of, and relations (spatial, topological, non-topological, quantitative and symbolic) between, discrete regions identified in a digital remotely-sensed image. The objective in developing this model is to allow second-order thematic information about the scene to be inferred from an analysis of these properties and relations. The paper briefly outlines the application of this model and an associated set of analytical techniques to infer land Erse from an initial land cover map derived from a digital remotely-sensed image.

引用

页码：555 / 576

页数：22