A new approach to urban road extraction using high-resolution aerial image
文献类型：期刊论文
| 作者 | Wang, Jianhua1; Qin, Qiming1; Gao, Zhongling2; Zhao, Jianghua3; Ye, Xin1 |
| 刊名 | Isprs international journal of geo-information
 |
| 出版日期 | 2016-07-01 |
| 卷号 | 5期号:7页码:12 |
| 关键词 | Spatial texture Local moran's i Hypothesis model Verification model Road extraction |
| ISSN号 | 2220-9964 |
| DOI | 10.3390/ijgi5070114 |
| 通讯作者 | Qin, qiming(qmqin@pku.edu.cn) |
| 英文摘要 | Road information is fundamental not only in the military field but also common daily living. automatic road extraction from a remote sensing images can provide references for city planning as well as transportation database and map updating. however, owing to the spectral similarity between roads and impervious structures, the current methods solely using spectral characteristics are often ineffective. by contrast, the detailed information discernible from the high-resolution aerial images enables road extraction with spatial texture features. in this study, a knowledge-based method is established and proposed; this method incorporates the spatial texture feature into urban road extraction. the spatial texture feature is initially extracted by the local moran's i, and the derived texture is added to the spectral bands of image for image segmentation. subsequently, features like brightness, standard deviation, rectangularity, aspect ratio, and area are selected to form the hypothesis and verification model based on road knowledge. finally, roads are extracted by applying the hypothesis and verification model and are post-processed based on the mathematical morphology. the newly proposed method is evaluated by conducting two experiments. results show that the completeness, correctness, and quality of the results could reach approximately 94%, 90% and 86% respectively, indicating that the proposed method is effective for urban road extraction. |
| WOS关键词 | CENTERLINE EXTRACTION ; CLASSIFICATION ; SEGMENTATION |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| WOS类目 | Geography, Physical ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000381499600015 |
| 出版者 | MDPI AG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374204 |
| 专题 | 计算机网络信息中心 |
| 通讯作者 | Qin, Qiming |
| 作者单位 | 1.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China 2.China Transport Telecommun & Informat Ctr, Beijing 100011, Peoples R China 3.Chinese Acad Sci, Comp Network Informat Ctr, Dept Big Data Technol & Applicat Dev, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jianhua,Qin, Qiming,Gao, Zhongling,et al. A new approach to urban road extraction using high-resolution aerial image[J]. Isprs international journal of geo-information,2016,5(7):12. |
| APA | Wang, Jianhua,Qin, Qiming,Gao, Zhongling,Zhao, Jianghua,&Ye, Xin.(2016).A new approach to urban road extraction using high-resolution aerial image.Isprs international journal of geo-information,5(7),12. |
| MLA | Wang, Jianhua,et al."A new approach to urban road extraction using high-resolution aerial image".Isprs international journal of geo-information 5.7(2016):12. |
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来源：计算机网络信息中心
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