利用边缘密度特征提取高分辨率遥感影像中的居民区  

Extraction of Built-Up Areas Extraction from High-Resolution Remote-Sensing Images Using Edge Density Features

作　　者：陈洪[1] 陶超[1] 邹峥嵘[1] 邵磊[1] 

机构地区：[1]中南大学地球科学与信息物理学院,长沙410083

出　　处：《应用科学学报》2014年第5期537-542,共6页Journal of Applied Sciences

基　　金：国家"973"重点基础研究发展计划基金(No.2012CB719900)资助

摘　　要：居民区相对于其他区域具有更明显更丰富的边缘特征.根据这一特点,提出一种利用边缘密度特征差异进行高分辨率遥感影像居民区自动提取的方法.该方法首先利用Mean Shift算法平滑原始影像,然后检测平滑影像上的边缘并拟合成直线段,最后利用影像中的边缘密度分布构建空间投票矩阵,并结合Ostu阈值分割方法提取居民区.实验表明:该方法可用于提取场景比较复杂的影像中的居民区,且具有较高的准确率和鲁棒性.Built-up area contains obvious edge features. We propose a method to extract edge-based built-up area from high resolution remote sensing images. The algorithm includes three steps： smoothing the original image with a mean shift algorithm, extracting edges with the Canny operator and fitting them as several straight lines, and forming a spatial voting matrix based on the edge distribution and extracting the built-up area using the Ostu＇s method. Experimental results show that the proposed approach can detect built-up areas in images with complicated background. It is highly robust and accurate.

关 键 词：高分辨率遥感影像 居民区提取 Mean SHIFT算法 边缘密度特征 空间投票 

分 类 号：P237[天文地球—摄影测量与遥感]