基于空间相似关系的居民地群组目标地图综合质量评价

发布时间：2018-06-24 01:28

本文选题：空间相似关系 + 地图综合　；参考：《地理与地理信息科学》2017年02期

【摘要】：数字环境下的计算机自动制图综合质量评价,其本质就是计算综合前原图和综合后结果图之间的相似度,因此该文提出了基于空间相似关系对居民地群组地图要素的制图综合质量进行评价的方法。首先,根据多尺度空间相似关系的定义,提取出居民地群组多边形的特征因子并计算各因子综合前后的相似度;其次,在合理分配权重的基础上,建立居民地群组多边形总体相似度计算模型,并根据相似度计算结果对居民地群组目标要素的制图综合质量进行评价;最后,利用实验验证了该文所提评价方法的有效性。该研究为客观评价地图综合质量提供了一个新的思路。
[Abstract]:The essence of computer automatic mapping generalization quality evaluation in digital environment is to calculate the similarity between the original map and the result map. Therefore, this paper presents a method to evaluate the cartographic generalization quality of map elements of population groups based on spatial similarity relationship. Firstly, according to the definition of similarity relation in multi-scale space, the characteristic factors of polygon in residential group are extracted and the similarity before and after the synthesis of each factor is calculated. Secondly, on the basis of reasonable distribution of weights, The general similarity model of population group polygon is established, and the mapping generalization quality of the target elements of residential group is evaluated according to the result of similarity calculation. Finally, the effectiveness of the proposed evaluation method is verified by experiments. This study provides a new idea for objectively evaluating the comprehensive quality of maps.
【作者单位】：兰州交通大学测绘与地理信息学院;甘肃省地理国情监测工程实验室;
【基金】：国家重点研发计划资助项目(2016YFC0803106) 国家自然科学基金项目(41201476、41561090) 地理空间信息工程国家测绘局重点实验室开放研究基金项目(201409)
【分类号】：P208;P283

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