高分辨率遥感图像中城区建筑物自动测绘方法研究  

Automatic detection and mapping of urban buildings in high resolution remote sensing images

作　　者：张正[1,2,3] 王宏琦[1,2] 宁忠磊[1,2,3] 孙皓[1,2,3] 

机构地区：[1]中国科学院电子学研究所,北京100080 [2]中国科学院空间信息处理与应用系统技术重点实验室,北京100080 [3]中国科学院研究生院,北京100039

出　　处：《国外电子测量技术》2010年第6期49-53,共5页Foreign Electronic Measurement Technology

摘　　要：针对高分辨率遥感图像中城区建筑物结构复杂、形状多样、易受背景干扰等特点,本文提出了一种城区建筑物自动测绘方法:首先引入条件随机场融合多类特征,得到目标存在区域;然后利用提出的分层次目标过程模型,获得各目标定位及轮廓描绘;最后采用角点检测方法,标绘出目标的矢量形状。实验表明,该方法适用于多类城区建筑物的自动测绘,准确率高、鲁棒性好,在地理信息系统和数字城市系统建设中具有较强的实用价值。In high resolution remote sensing images,urban buildings always have characteristics of complex structures and are vulnerable to background interference.For the purpose of detecting and mapping urban buildings automatically in that circumstance,a novel method is proposed in this paper.Firstly,the Conditional Random Field is introduced to fuse multiple kinds of features to get the areas objects existing,then we propose a Hierarchical Object Process Model,which is used to access to the location of objects as well as accurate depictions of their outline,and finally the corner detection method is utilized to delineate the vector shapes of objects.Competitive results for multiform and complicated urban buildings demonstrate the precision and robustness of the proposed method.

关 键 词：高分辨率遥感图像 城区建筑物 目标测绘 条件随机场 

分 类 号：TM[电气工程]