Knowledge-based detection and assessment of damaged roads using post-disaster high-resolution remote sensing image
文献类型：期刊论文
| 作者 | Wang, Jianhua1; Qin, Qiming1; Zhao, Jianghua2; Ye, Xin1; Feng, Xiao1; Qin, Xuebin1; Yang, Xiucheng1 |
| 刊名 | Remote sensing
 |
| 出版日期 | 2015-04-01 |
| 卷号 | 7期号:4页码:4948-4967 |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs70404948 |
| 通讯作者 | Qin, qiming(qmqin@pku.edu.cn) |
| 英文摘要 | Road damage detection and assessment from high-resolution remote sensing image is critical for natural disaster investigation and disaster relief. in a disaster context, the pairing of pre-disaster and post-disaster road data for change detection and assessment is difficult to achieve due to the mismatch of different data sources, especially for rural areas where the pre-disaster data (i.e., remote sensing imagery or vector map) are hard to obtain. in this study, a knowledge-based method for road damage detection and assessment solely from post-disaster high-resolution remote sensing image is proposed. the road centerline is firstly extracted based on the preset road seed points. then, features such as road brightness, standard deviation, rectangularity, and aspect ratio are selected to form a knowledge model. finally, under the guidance of the road centerline, the post-disaster roads are extracted and the damaged roads are detected by applying the knowledge model. in order to quantitatively assess the damage degree, damage assessment indicators with their corresponding standard of damage grade are also proposed. the newly developed method is evaluated using a worldview-1 image over wenchuan, china acquired three days after the earthquake on 15 may 2008. the results show that the producer's accuracy (pa) and user's accuracy (ua) reached about 90% and 85%, respectively, indicating that the proposed method is effective for road damage detection and assessment. this approach also significantly reduces the need for pre-disaster remote sensing data. |
| WOS关键词 | CENTERLINE EXTRACTION ; SATELLITE IMAGES ; EARTHQUAKE ; DISASTER ; MAPS |
| WOS研究方向 | Remote Sensing |
| WOS类目 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000354789300069 |
| 出版者 | MDPI AG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374081 |
| 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.Chinese Acad Sci, Sci Data Ctr, Comp Network Informat Ctr, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jianhua,Qin, Qiming,Zhao, Jianghua,et al. Knowledge-based detection and assessment of damaged roads using post-disaster high-resolution remote sensing image[J]. Remote sensing,2015,7(4):4948-4967. |
| APA | Wang, Jianhua.,Qin, Qiming.,Zhao, Jianghua.,Ye, Xin.,Feng, Xiao.,...&Yang, Xiucheng.(2015).Knowledge-based detection and assessment of damaged roads using post-disaster high-resolution remote sensing image.Remote sensing,7(4),4948-4967. |
| MLA | Wang, Jianhua,et al."Knowledge-based detection and assessment of damaged roads using post-disaster high-resolution remote sensing image".Remote sensing 7.4(2015):4948-4967. |
入库方式： iSwitch采集
来源：计算机网络信息中心
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。