map generalization in digital environment 数字环境下的地图模型综合
Semantic weights of features in task-driven map generalization 面向任务地图综合中要素的语义性权重判定
Object location is defined as coming up with three-dimensional coordinate expression through binocular vision model analysis using geometrical relationship depth map generalization is the course of visualizing depth information 目标定位是通过双目视觉模型分析,利用空间几何关系,最后提出了目标点的三维坐标计算表达式。
Spatial data model is formalized according to partial order relationship, equivalence relationship and simplicial complex theory . a formalizing two-tuple ( m, f ) multi-resolution spatial data model is presented . based on the jarno peschie algorithms, an improved algorithm of road network map generalization is developed 应用偏序关系、等价关系和单纯复形理论,初步研究了多分辨率空间数据模型形式化表达方法,提出了一个二元组形式化多分辨率空间数据模型。
The main subjects of this paper are as follows : ( 1 ) the conditions of map use, characters of map regions and map scale are considered during map generalization . we also build several tools to dynamic sum up and pack up generalization rules and parameters and put them to generalization knowledge library 考虑了影响制图综合的三要素,即地图用途、制图区域地理特点和地图比例尺,并实现了对综合规则、参数的归纳和整理,建成了可动态扩展的规则库和参数库。
In this paper, we apply the theory of " nature objects existed being excellent and washed out being of feebleness " to automated map generalization basing on thinking of the conditions of map use, characters of map regions and map scale . two generalization models which are called " constrained delaunay triangle net generalization model ( cdtngm ) " and " circle generalization model ( cgm ) " are created 本文在考虑了地图用途、制图区域地理特点和地图比例尺等因素的基础上,把“优胜劣汰”的思想运用到了地图自动综合中来,并实现了“约束delaunay三角网综合模型”和“circle综合模型”两个算法模型。