利用边缘密度特征提取高分辨率遥感影像中的居民区

doi:10.3969/j.issn.0255-8297.2014.05.016

应用科学学报 ›› 2014, Vol. 32 ›› Issue (5): 537-542.doi: 10.3969/j.issn.0255-8297.2014.05.016

利用边缘密度特征提取高分辨率遥感影像中的居民区

陈洪，陶超，邹峥嵘，邵磊

中南大学地球科学与信息物理学院，长沙410083

收稿日期:2012-10-24 修回日期:2013-02-22 出版日期:2014-09-23 发布日期:2013-02-22
作者简介:陶超，博士，研究方向：遥感影像处理和自动目标识别，E-mail: kingtaochao@csu.edu.cn
基金资助:
国家“973”重点基础研究发展计划基金(No.2012CB719900)资助

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

CHEN Hong, TAO Chao, ZOU Zheng-rong, SHAO Lei

School of Geosciences and Info-physics, Central South University, Changsha 410083, China

Received:2012-10-24 Revised:2013-02-22 Online:2014-09-23 Published:2013-02-22

摘要/Abstract

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.

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

Abstract: 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.

Key words: high resolution remote sensing image, built-up area extraction, Mean Shift algorithm, edge density
features, spatial voting

中图分类号:

P237

陈洪，陶超，邹峥嵘，邵磊. 利用边缘密度特征提取高分辨率遥感影像中的居民区[J]. 应用科学学报, 2014, 32(5): 537-542.

CHEN Hong, TAO Chao, ZOU Zheng-rong, SHAO Lei. Extraction of Built-Up Areas Extraction from High-Resolution Remote-Sensing Images Using Edge Density Features[J]. Journal of Applied Sciences, 2014, 32(5): 537-542.

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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

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