Complicated contour automated generalization is a important and difficult task for computer-assisted cartography.
复杂等高线自动综合是计算机辅助制图领域中一项重要且难度较大的任务。
A structural river network data model based on automated generalization oriented is developed, which contains lots of information needed by river network generalization.
建立了一种面向自动综合的河系结构化数据模型，模型包含了大量水系综合所需要的信息。
According to the fractal theory. a new method of complicated contour automated generalization. which is based on quantizing the features of contour lines shape. is proposed in this paper.
本文根据分形理论的基本原理，提出了一种基于量化等高线形状结构特征的复杂等高线自动综合的新方法。
It is a new approach to explore relief Automated Generalization, based on DEM skeleton characteristic point and line to automate generalize relief, through the extraction DEM terrain skeleton c.
基于DEM骨架特征点线进行地貌的自动综合，是通过提取DEM地形骨架特征数据来实现地貌自动综合，是对地貌自动综合新方法的探索。
The study on automated cartographic generalization has little breakthrough due to the lack of depth of generalization knowledge gained nowadays.
自动制图综合的研究长期以来未能取得突破性进展，原因之一是人们对制图综合的知识处理的深度不够。
The study on automated cartographic generalization has little breakthrough due to the lack of depth of generalization knowledge gained nowadays.
自动制图综合的研究长期以来未能取得突破性进展，原因之一是人们对制图综合的知识处理的深度不够。
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