以南京市为例,以多尺度分割和面向对象分类方法为主要技术,利用不同层次上表现出的地物信息之间的关系自动提取城市地表不可透水度信息。结果表明,南京市地表不可透水度主要集中在50%~99%间,分布在建邺区、下关区和鼓楼区;不可透水度较低区域集中分布在文教及机关聚集的玄武区等;面向对象分类可实现城市地表不可透水度信息的快速提取,结果稳定可靠。
In this paper,based on the multi-resolution image segmentation and object-oriented image classification,the information of the impervious degree of urban surface in Nanjing was extracted by using the objects relationship at the different scales.The results indicated that the imperious degree in Nanjing City was mainly concentrated between 50% and 99%,and the area of higher degree was extensively distributed in Jianye District,Xiaguan District and Gulou District,while the lower was mainly in Xuanwu District.The method of object-oriented image classification could realize the quick extraction of the impervious degree of urban surface,and the output was stability and reliability.
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