|
|||||
|
|
| 基于形态分割的高分辨率遥感影像道路提取 | |
| 引用本文： | 朱长青,王耀革,马秋禾,史文中. 基于形态分割的高分辨率遥感影像道路提取[J]. 测绘学报, 2004, 33(4): 347-351 |
| 作者姓名： | 朱长青 王耀革 马秋禾 史文中 |
| 作者单位： | 中国科学院,测量与地球物理研究所,湖北,武汉,430077;解放军信息工程大学,测绘学院,河南,郑州,450052;解放军信息工程大学,理学院,河南,郑州,450052;解放军信息工程大学,测绘学院,河南,郑州,450052;香港理工大学,土地测量与地理资讯学系,香港 |
| 摘 要： | 基于灰度形态学,提出一种从高分辨率遥感图像提取道路网络的方法.首先利用灰度形态特征对遥感影像进行分割,进而得到基本的道路网络轮廓.然后在此基础上,利用线段特征匹配方法提取道路网络.提出的方法能适应于从道路和背景区别不很清楚的遥感图像中提取道路.实验结果也表明,本文方法能有效地从遥感影像中提取道路网络. |
| 关 键 词： | 道路网络提取 高分辨率遥感影像 灰度形态学 特征分割 线段匹配 |
| 文章编号： | 1001-1595(2004)04-0347-05 |
Road Extraction from High-resolution Remotely Sensed Image Based on Morphological Segmentation |
|
| ZHU Chang-qing. Road Extraction from High-resolution Remotely Sensed Image Based on Morphological Segmentation[J]. Acta Geodaetica et Cartographica Sinica, 2004, 33(4): 347-351 | |
| Authors: | ZHU Chang-qing |
| Affiliation: | ZHU Chang-qing~ |
| Abstract: | Based on grey level mathematical morphology, this paper presents a newly developed approach to extract road network from high-resolution remotely sensed image. First, the image is segmented based on grey level morphological characteristics, and basic road network can be obtained. Then final road network is extracted from the basic road network by line match method. The proposed approach in the paper can be adapted for road extraction from the remotely sensed image where road cannot be differentiated with background clearly. And the experiments also indicate that the proposed approach is efficient for extracting road network from remotely sensed image. |
| Keywords: | road network extraction high-resolution remotely sensed image grey level morphology characteristic segmentation line match |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |