Use of UAV oblique imaging for the detection of individual trees in residential environments
文献类型：期刊论文
| 作者 | Lin, Yi1; Jiang, Miao1; Yao, Yunjun1; Zhang, Lifu1; Lin, Jiayuan1 |
| 刊名 | URBAN FORESTRY & URBAN GREENING
 |
| 出版日期 | 2015 |
| 卷号 | 14期号:2页码:133-141 |
| 关键词 | Aerial oblique imaging Individual tree detection Residential environment Ultra high spatial resolution Unmanned aerial vehicle |
| 通讯作者 | Lin, Y (reprint author), Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing Key Lab Spatial Informat Integrat & Its A, Beijing 100871, Peoples R China. |
| 英文摘要 | Oblique imaging and unmanned aerial vehicles (UAV) are two state-of-the-art remote sensing (RS) techniques that are undergoing explosive development. While their synthesis means more possibilities for the applications such as urban forestry and urban greening, the related methods for data processing and information extraction, e.g. individual tree detection, are still in short supply. In order to help to fill this technical gap, this study focused on developing a new method applicable for the detection of individual trees in UAV oblique images. The planned algorithm is composed of three steps: (1) classification based on k-means clustering and RGB-based vegetation index derivation to acquire vegetation cover maps, (2) suggestion of new feature parameters by synthesizing texture and color parameters to identify vegetation distribution, and (3) individual tree detection based on marker-controlled watershed segmentation and shape analysis. The evaluationsbased on the images within residential environments indicated that the commission and omission errors are less than 32% and 26%, respectively. The results have basically validated the proposed method. (C) 2015 Elsevier GmbH. All rights reserved. |
| 研究领域[WOS] | Plant Sciences ; Environmental Studies ; Forestry ; Urban Studies |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000357146400027 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38511]  |
| 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.[Lin, Yi] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing Key Lab Spatial Informat Integrat & Its A, Beijing 100871, Peoples R China 2.[Jiang, Miao] China Met Geol Bur, Inst Mineral Resources Res, Beijing 100025, Peoples R China 3.[Yao, Yunjun] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China 4.[Zhang, Lifu] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 5.[Lin, Jiayuan] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Yi,Jiang, Miao,Yao, Yunjun,et al. Use of UAV oblique imaging for the detection of individual trees in residential environments[J]. URBAN FORESTRY & URBAN GREENING,2015,14(2):133-141. |
| APA | Lin, Yi,Jiang, Miao,Yao, Yunjun,Zhang, Lifu,&Lin, Jiayuan.(2015).Use of UAV oblique imaging for the detection of individual trees in residential environments.URBAN FORESTRY & URBAN GREENING,14(2),133-141. |
| MLA | Lin, Yi,et al."Use of UAV oblique imaging for the detection of individual trees in residential environments".URBAN FORESTRY & URBAN GREENING 14.2(2015):133-141. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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