基于多维约束空间的自动制图综合质量评估模型

为解决现阶段自动制图综合结果难以量化和比较的问题，提出一种基于多维约束空间的制图综合质量评估模型．首先对综合结果所得的各约束值进行归一化和无量纲处理，然后在单个一维约束坐标轴的基础上建立虚拟的多维约束空间，使综合结果在同一尺度范围内进行讨论，最后把欧氏距离扩展到多维约束空间用来度量制图综合质量以进行质量优劣的比较．使用该方法对普通建筑物的不同综合结果进行了评估，计算了面积、相邻点之间距离等5个建筑物约束条件所得制图综合结果的综合评价值，按照该综合评价值的排序获取的质量评估结果与实际情况完全符合．结果证明，该方法原理正确，计算简单，是评价和比较多个制图综合结果的有效方法．

Quality Evaluation Model of Automated Cartographical Generalization Based on a Multi-dimensional Constraint Space

To guantify and compare the result of different automated cartographical generalizations, a quality evaluation model based on multi-dimensional constraint space was proposed.Firstly, the each constraint value was processed by normalization and dimensionless number, and then the virtual muti-dimensions constraint space was built on the basis of single constraint coordinate axis, which made the outputs of generalization discussed in the same scale range.Thirdly, the quality of cartographical generalization was analyzed and compared by extending Euler distance to multi-dimensions constraint space. An experiment on generalization of buildings was completed. Comprehensive evaluations based on the five constraint values, including the area and distance between adjacent nodes of building, etc, were made. The results show that the model is correct and effective to compare different generalization methods.