多源同名线要素数据局部细节差异较大,但整体形态基本上是一致的,化简算法可以删除线要素的局部细节,提取其主要形态,从而有助于匹配算法提升匹配正确率。不同化简算法的化简效果存在差异,提升匹配正确率的效果也存在差异。本文提出了利用线要素匹配来评估化简算法性能的方法。首先,阐述了动态化简带动动态匹配的方法和过程;其次,采用3种不同的化简算法进行试验,验证了所提方法提高已有匹配算法匹配正确率的有效性,以及对化简算法的普遍适用性;最后,根据加入3种化简算法的不同匹配结果,从匹配的角度对化简算法适用性进行了比较评估。
The multi-source corresponding line features usually vary greatly from each other in local details, but their global shapes remain fairly consistent. Simplification can delete the details and extract the feature's main shape thus to help improve the matching correctness. On this basis, this paper puts forward a new method to evaluate the simplification algorithms by using line feature matching. Firstly, describe the whole process of dynamic simplification driving dynamic matching~ then,the effectiveness of the proposed method and its universality to simplification algorithms are tested and verified through adopting 3 simplification algorithms to conduct the experirnents; finally, applicability comparison and assessment for the simplification are implemented from the view of matching according to the different matching results.