Synergistic application of geometric and radiometric features of LiDAR data for urban land cover mapping
文献类型：期刊论文
| 作者 | Qin, Yuchu1; Li, Shihua1; Tuong-Thuy Vu1; Niu, Zheng1; Ban, Yifang1 |
| 刊名 | OPTICS EXPRESS
 |
| 出版日期 | 2015 |
| 卷号 | 23期号:11页码:1649-1653 |
| 通讯作者 | Qin, YC (reprint author), Royal Inst Technol KTH, Geodesy & Geoinformat Div, S-10044 Stockholm, Sweden. |
| 英文摘要 | Urban land cover map is essential for urban planning, environmental studies and management. This paper aims to demonstrate the potential of geometric and radiometric features derived from LiDAR waveform and point cloud data in urban land cover mapping with both parametric and non-parametric classification algorithms. Small footprint LiDAR waveform data acquired by RIEGL LMS-Q560 in Zhangye city, China is used in this study. A LiDAR processing chain is applied to perform waveform decomposition, range determination and radiometric characterization. With the synergic utilization of geometric and radiometric features derived from LiDAR data, urban land cover classification is then conducted using the Maximum Likelihood Classification (MLC), Support Vector Machines (SVM) and random forest algorithms. The results suggest that the random forest classifier achieved the most accurate result with overall classification accuracy of 91.82% and the kappa coefficient of 0.88. The overall accuracies of MLC and SVM are 84.02, and 88.48, respectively. The study suggest that the synergic utilization of geometric and radiometric features derived from LiDAR data can be efficiently used for urban land cover mapping, the non-parametric random forest classifier is a promising approach for the various features with different physical meanings. (C) 2015 Optical Society of America |
| 研究领域[WOS] | Optics |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000356902400039 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38430]  |
| 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.[Qin, Yuchu 2.Ban, Yifang] Royal Inst Technol KTH, Geodesy & Geoinformat Div, S-10044 Stockholm, Sweden 3.[Qin, Yuchu 4.Niu, Zheng] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 5.[Tuong-Thuy Vu] Univ Nottingham, Sch Geog, Selangor 43500, Malaysia 6.[Li, Shihua] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 610054, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qin, Yuchu,Li, Shihua,Tuong-Thuy Vu,et al. Synergistic application of geometric and radiometric features of LiDAR data for urban land cover mapping[J]. OPTICS EXPRESS,2015,23(11):1649-1653. |
| APA | Qin, Yuchu,Li, Shihua,Tuong-Thuy Vu,Niu, Zheng,&Ban, Yifang.(2015).Synergistic application of geometric and radiometric features of LiDAR data for urban land cover mapping.OPTICS EXPRESS,23(11),1649-1653. |
| MLA | Qin, Yuchu,et al."Synergistic application of geometric and radiometric features of LiDAR data for urban land cover mapping".OPTICS EXPRESS 23.11(2015):1649-1653. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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。