地理研究 ›› 2000, Vol. 19 ›› Issue (1): 93-100.doi: 10.11821/yj2000010014

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面状分布地物群识别与概括的数学形态学方法

张青年, 秦建新   

  1. 中国科学院地理研究所, 北京100101
  • 收稿日期:1999-05-06 修回日期:1999-11-10 出版日期:2000-03-15 发布日期:2000-03-15
  • 作者简介:张青年(1968- ),男,湖北京山人,1990年毕业于湖北大学地理系,1993年获河南大学自然地理专业硕士学位。1993年7月起在湖北大学区域规划研究所工作。现为中国科学院地理研究所地图室博士研究生。主要从事地图学与地理信息系统及可持续发展等研究工作。

Identification and generalization of area clusters by mathematical morphology

ZHANG Qing-nian, Qin Jian-xin   

  1. Institute of Geography, CAS 100101, China
  • Received:1999-05-06 Revised:1999-11-10 Online:2000-03-15 Published:2000-03-15

摘要: 采用数学形态学方法,在地物群识别的基础上进行地物群概括。地物群的识别采用两个标准,即地物群内部间距的阈值与地物群内部间距和外部间距的比值。同时,还在地物群内识别面积相似、间距相似、排列方向一致的规则结构单元。在此基础上,首先进行规则结构单元的概括,在选取、合并、移位、夸大的过程中保持规则结构单元的间距相似、排列方向一致等特点。然后进行整个地物群的概括,保持地物群的分布范围、形状等宏观特征。

关键词: 地物群, 地图概括(制图综合), 数学形态学

Abstract: Many kinds of area features tend to distribute in clusters in map sheets.These clusters usually impress map reader with the concentration of map features.When a generalized map is derived froma detailed map,the pattern and characteristics of cluster distribution should be maintained to some extent.This paper discusses the method of identification and generalization of clusters and regular structural units by mathematical morphology.Clusters are identified based on two criteria,i.e.,proximity between features inside clusters and the ratio between distances inside and outside cluster.Further more,neighboring features with similar size,spacing and orientation are identified as regular structural units inside clusters.After cluster identification,regular structural units are generalized in a way to maintain their characteristic pattern on size,spacing and orientation.Other features inside clusters are generalized associated with theircontext,so thatthe general characteristics and distribution of clusters are maintained.

Key words: cluster, identification, generalization, mathematical morphology

PACS: 

  • P283.1