基于遥感指数的城市建城区界定与自动提取  

Index-based definition and auto-extraction of the urban built-up region from remote sensing imagery

作　　者：徐涵秋[1] 杜丽萍[1] 孙小丹[1] 

机构地区：[1]福州大学环境与资源学院,福建福州350108

出　　处：《福州大学学报（自然科学版）》2011年第5期707-712,共6页Journal of Fuzhou University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(40371107);福建省教育厅科研重点资助项目(JK2009004)

摘　　要：建筑用地是一类复杂的土地利用类型,难以用简单的方法将它们从遥感影像中准确提取出来.而城市建成区的界定,更是缺乏有效的方法,因此亟需一种科学的方法来准确提取城市建成区.新近提出的IBI建筑用地指数虽然可以将建筑用地较好地从影像中提取出来,但仍无法将城市建筑用地和农村建筑用地区别开来.为此,本文提出一种基于连通区域的新算法.在IBI指数所提取的建筑用地二值影像基础上,通过检测影像中连通区域的方法来鉴别各种建筑用地的聚合体,并根据其面积参数来判别城市和农村建筑用地,完成城市建成区的界定与自动提取,精度可达96%以上.The extraction of built-up land information from remote sensing imagery is not an easy task due largely to the complicated composition of the built-up land class.The exact definition of the urban built-up area is even more difficult and still lack of an effective method.Although the recently proposed IBI（index-based built-up index） can effectively extract built-up land information from remote sensing imagery,the index still cannot distinguish between urban and rural built-up lands.Therefore,this paper proposed a new algorithm to work out this problem.It first detects connected areas from the IBI-extracted built-up land image and then recognizes the urban built-up region based on the size of the connected areas,because an urban built-up region is usually larger than a rural built-up region.The results show that the new method can effectively auto-extract the urban built-up lands and determine urban built-up region from remote sensing images with overall accuracy of over 96%.

关 键 词：城市建成区 IBI建筑用地指数 遥感 信息提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP751[自动化与计算机技术—计算机科学与技术]