摘要
由于土地利用图斑间产生狭窄缝隙会导致空间冲突的问题与小面积图斑过多的问题,而常规的处理方式不但无法保持拓扑关系与权属关系一致,而且需要人机交互实现,自动化程度不足。为解决此问题,提出了一种顾及地类图斑间拓扑关系与权属关系的土地利用图斑自动检测算法。此算法由图斑多边形的公共交点和公共边界入手,消除邻近图斑间的“桥梁区域”;并利用Weiler-Atherton算法,将小面积图斑自动合并到原始拓扑相邻的图斑中。将此算法应用于三调质检中的土地资源业务数据中,实验结果表明,此算法在顾及地类图斑间的多重关系下,不仅能够消除小面积图斑以及土地利用图斑之间的“桥梁区域”,并且保持了地类图斑间的拓扑一致与权属关系,维持了土地利用图斑原有的自然弯曲形态。
Due to the problem of space conflict and too many small area map spots caused by narrow gaps between land use map spots,the conventional treatment mode is not only unable to maintain the same topological relationship and ownership relationship,but also requires man-machine interaction and insufficient degree of automation.In order to solve this problem,an automatic land use map spot detection algorithm considering topological relation and ownership relation between map spots is proposed.The algorithm starts from the common intersection point and the common boundary of the polygon to eliminate the“bridge area”between adjacent polygons.By using the Weiler-Atherton algorithm,small area patches are automatically merged into adjacent patches of the original topology.The algorithm is applied to land resources in the business data of the three adjustable quality inspection.The experiment shows that concerning the multiple relationships between the patches of the land class map,this algorithm can not only eliminate the“bridge area”between the small area map spots and the land use map spots,but also maintain the topological consistency and ownership relationship between the land use map spots,and maintain the original natural bending shape of the land use map spots.
作者
程建燕
康建荣
周棒
胡宗楠
CHENG Jian-yan;KANG Jian-rong;ZHOU Bang;HU Zong-nan(Jiangsu Normal University,Xuzhou 221116,China)
出处
《计算机技术与发展》
2020年第4期171-176,共6页
Computer Technology and Development
基金
国家自然科学基金(51574132)
江苏省研究生科研创新计划项目(KYCX18_2159)。
