栅格地形图中提取的断裂等高线重建是获取等高线矢量数据和数字高程模型数据的关键环节。本文将基于断点延伸相交判断断点匹配方法(Gul方法)、基于矩形缓冲区约束距离匹配算法(张晓远方法)、基于改进最小点对法断点匹配方法(Samet方法)、基于断点分类和方向差异的等高线补断方法(李晓宁方法)等四种方法应用于等高线图像中断裂等高线重建,并利用大量不同尺寸、质量和复杂度的实验样本对四种方法开展对比分析实验。实验结果表明,在样本复杂度较小的情况下,四种方法具备了一定的重建能力,Gul方法和Samet方法完成效果优于其他两种方法;随着样本图复杂度增加,所有方法性能均有明显下降,误连率和漏连率快速增加。因此,四种方法均尚未具备完成各种复杂度栅格地形图中断裂等高线重建的通用性和实用性。
Reconstruction of broken contour lines extracted from raster topographic maps is critical to achieve contour lines vector data and digital elevation model data. This paper applies four methods in the broken contour lines reconstruction. They are Gul method, Zhang Xiaoyuan's method, Samet method and Li Xiaoning's method. Then the paper compares and analyzes the four methods with the different samples. The experiment results show that the four methods hold good breakpoint connection performance and accuracy with simple samples, and Gul method and Samet method are better than the other two methods. However, the performances of the four methods decrease when the samples become more complex, and the errors and misconneetion rate increase greatly. Therefore, the four methods do not apply to complete the reconstruction of broken contour lines in various complex raster topographic maps.