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Use of UAV oblique imaging for the detection of individual trees in residential environments
Lin, Yi1; Jiang, Miao2; Yao, Yunjun3; Zhang, Lifu4; Lin, Jiayuan5
Corresponding AuthorLin, Yi
2015
Source PublicationURBAN FORESTRY & URBAN GREENING
ISSN1618-8667
Volume14Issue:2Pages:404-412
SubtypeArticle
AbstractOblique 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.
KeywordAerial Oblique Imaging Individual Tree Detection Residential Environment Ultra High Spatial Resolution Unmanned Aerial Vehicle
WOS HeadingsScience & Technology ; Social Sciences ; Life Sciences & Biomedicine
DOI10.1016/j.ufug.2015.03.003
WOS Subject ExtendedPlant Sciences ; Environmental Sciences & Ecology ; Forestry ; Urban Studies
Indexed BySCI ; SSCI
WOS KeywordUNMANNED AERIAL VEHICLE ; REMOTE-SENSING DATA ; VEGETATION FRACTION ; IMAGES ; EXTRACTION ; RECONSTRUCTION ; VERIFICATION ; CAMERA
Language英语
WOS SubjectPlant Sciences ; Environmental Studies ; Forestry ; Urban Studies
WOS IDWOS:000357146400027
Citation statistics
Cited Times:47[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/10676
Collection数字山地与遥感应用中心
Affiliation1.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing Key Lab Spatial Informat Integrat & Its A, Beijing 100871, Peoples R China
2.China Met Geol Bur, Inst Mineral Resources Res, Beijing 100025, Peoples R China
3.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China
4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
5.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Recommended Citation
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):404-412.
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),404-412.
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):404-412.
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