增量综合技术主要用来实现变化信息融入目标比例尺地图数据而进行的尺度变换,是多尺度空间数据库级联更新的核心技术环节。在深入分析国内外对增量综合研究的基础上,通过对不同类型变化对象影响范围和影响方式的研究,以居民地要素为例,提出影响域渐进扩展的增量综合算法。首先对综合区域进行了两级划分,然后寻找变化对象影响域内的影响对象,并根据区域特征选择综合算子对变化对象和影响对象进行综合,最后再以新对象为中心扩展影响域,直到影响域内没有涉及到其他对象,并且和所有的邻近对象无空间冲突为止。实验结果表明本文算法能够正确实现大比例尺数据对小比例尺数据的增量综合和更新,数据一致性好,效率高。

As used in scale transformation for changing spatial features, incremental generalization technology is one of the main aspects of the multi-scale data propagating updating process. After analyzing the domestic and international research, an incremental generalization algorithm based on gradually expanding the influencing domain is proposed, which consists of the following steps: first, the processed area is divided into parts using hierarchy technique; second, the changed feature and it surroundings that are influencing the features are detected, so as to generalize both of them with correct generalization operations according to the area characteristics; third, expanding the influencing domain of the generalized features so as to detect new corresponding features, and stopping the circles until no influencing feature is detected. Examples illustrate that the method described in this paper is more effective for scale transformation and updating large scale maps.