Fine-scale population estimation by 3D reconstruction of urban residential buildings
文献类型：期刊论文
| 作者 | Wang, Shixin1; Tian, Ye1; Zhou, Yi1; Liu, Wenliang1; Lin, Chenxi1 |
| 刊名 | Sensors (Switzerland)
 |
| 出版日期 | 2016 |
| 卷号 | 16期号:10 |
| 关键词 | TREE SPECIES CLASSIFICATION OBJECT-BASED CLASSIFICATION RESOLUTION SATELLITE IMAGES REMOTE-SENSING DATA LAND-COVER LIDAR DATA VEGETATION FOREST TEXTURE ALGORITHMS |
| 通讯作者 | Tian, Ye (tianye01@radi.ac.cn) |
| 英文摘要 | Fine-scale population estimation is essential in emergency response and epidemiological applications as well as urban planning and management. However, representing populations in heterogeneous urban regions with a finer resolution is a challenge. This study aims to obtain fine-scale population distribution based on 3D reconstruction of urban residential buildings with morphological operations using optical high-resolution (HR) images from the Chinese No. 3 Resources Satellite (ZY-3). Specifically, the research area was first divided into three categories when dasymetric mapping was taken into consideration. The results demonstrate that the morphological building index (MBI) yielded better results than built-up presence index (PanTex) in building detection, and the morphological shadow index (MSI) outperformed color invariant indices (CIIT) in shadow extraction and height retrieval. Building extraction and height retrieval were then combined to reconstruct 3D models and to estimate population. Final results show that this approach is effective in fine-scale population estimation, with a mean relative error of 16.46% and an overall Relative Total Absolute Error (RATE) of 0.158. This study gives significant insights into fine-scale population estimation in complicated urban landscapes, when detailed 3D information of buildings is unavailable. © 2016 by the authors; licensee MDPI, Basel, Switzerland. |
| 学科主题 | Chemistry; Electrochemistry; Instruments & Instrumentation |
| 类目[WOS] | Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20164402966286 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39296]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. National Engineering Center for Geoinformatics, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science (CAS), Beijing 2.100101, China 3. University of Chinese Academy of Science (UCAS), Beijing 4.100049, China |
| 推荐引用方式 GB/T 7714 | Wang, Shixin,Tian, Ye,Zhou, Yi,et al. Fine-scale population estimation by 3D reconstruction of urban residential buildings[J]. Sensors (Switzerland),2016,16(10). |
| APA | Wang, Shixin,Tian, Ye,Zhou, Yi,Liu, Wenliang,&Lin, Chenxi.(2016).Fine-scale population estimation by 3D reconstruction of urban residential buildings.Sensors (Switzerland),16(10). |
| MLA | Wang, Shixin,et al."Fine-scale population estimation by 3D reconstruction of urban residential buildings".Sensors (Switzerland) 16.10(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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