一种聚集性面群中毗邻区自动识别与处理方法

毗邻化操作是具有毗邻特性的聚集性面状要素群(简称毗邻区)开展地图综合的核心内容,传统方法只给出了笼统的处理思路,难以支撑机器智能化、自动化处理。为此,本文提出一种在各种聚集性面状要素群中自动识别毗邻区及其毗邻化处理方法。首先基于Gestalt原则,提炼代表毗邻区典型特征的桥接面宽度指数(WI)、分布格局指数(DPI)、有效连接指数(ECI)和重叠度指数(OI),并进行毗邻区自动辨识;其次优化外围边界轮廓计算、毗邻化线提取等毗邻化操作关键算法,实现自动化处理;最后经江苏省某典型区域的地形图实际数据测试,检验了该自动化方法的可靠性和高效性。

An automatic recognition and processing method for agglomeration area in aggregated area groups

Agglomeration operation is a core component of the automated generalization of aggregated area groups with adjacent and compact features. However, the traditional methods are limited to the general conceptual level and cannot support intelligent computer processing. So this paper proposed an automatic recognition and processing method for agglomeration areas in aggregated area groups. Firstly, the bridging area width index (WI), distribution pattern index (DPI), effective connection index (ECI) and overlap index (OI), which represent the typical characteristics of agglomeration area are summarized based on the Gestalt principle, then the agglomeration areas are identified automatically. Secondly, two key algorithms of agglomeration are optimized to achieve automatic processing, including external boundary outlines computation and agglomeration line extraction. Finally, the reliability and efficiency of the proposed method have been validated by using the actual data of topographic map in a typical area of Jiangsu province.