首页    期刊浏览 2024年07月05日 星期五
登录注册

文章基本信息

  • 标题:High quality DTMs from contourlines by knowledge-based classification of problem regions
  • 本地全文:下载
  • 作者:David Heitzinger ; Helmut Kager
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:1998
  • 卷号:XXXII Part 4
  • 出版社:Copernicus Publications
  • 摘要:Contourline maps are increasingly used to generate DTMs (Digital Terrain Models). That's, because in most countriessuch maps are existing, covering the whole area in different scales, thus representing a cheap source of data.Unfortunately, DTMs from digitized contourlines can have certain quality draw-backs. At our Institute a program has beendeveloped to improve the quality of the results. This is done by extracting the important topographic features (ridges,summits, saddles, drainage lines and valleys) and calculating points and lines as additional input.From the original contourlines a TIN (Triangular Irregular Network) is created. This TIN can immediately be used tocalculate additional points to improve the data distribution. Furthermore, the triangulation is used to analyze thecontourlines and to detect relevant topographic features. This analysis is a knowledge-based classification of problemregions by the use of rules. A classified topographic feature yields calculation of additional points and lines. Thus themain topographic features are revealed. The method has been developed especially for contourline data, but can beextended for other kinds of input data without effort. The developed program performs as a preprocessing module forSCOP2 .The proposed method has been tested with various input data. These examples are presented and discussed in thesecond part of the paper, including an outlook on further developments.
国家哲学社会科学文献中心版权所有