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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 | |
| 引用本文： | 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. DOI: 10.3969/j.issn.0255-8297.2014.05.016 |
| 作者姓名： | 陈洪 陶超 邹峥嵘 邵磊 |
| 作者单位： | 中南大学地球科学与信息物理学院，长沙410083 |
| 基金项目： | 国家“973”重点基础研究发展计划基金 |
| 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 |
| 收稿时间： | 2012-10-24 |
| 修稿时间： | 2013-02-22 |
Extraction of Built-Up Areas Extraction from High-Resolution Remote-Sensing Images Using Edge Density Features |
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| 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. DOI: 10.3969/j.issn.0255-8297.2014.05.016 | |
| Authors: | CHEN Hong TAO Chao ZOU Zheng-rong SHAO Lei |
| Affiliation: | School of Geosciences and Info-physics, Central South University, Changsha 410083, China |
| 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. |
| Keywords: | high resolution remote sensing image built-up area extraction Mean Shift algorithm edge density features spatial voting |
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