Zhang, Y.[Yun],
Texture-Integrated Classification of Urban Treed Areas in
High-Resolution Color-Infrared Imagery,
PhEngRS(67), No. 12, December 2001, pp. 1359-1366.
To effectively extract tree textural features and eliminate noise, use
conditional variance detection.
It consists of a directional variance detection and
a local variance detection.
WWW Link.
0201
BibRef
Ouma, Y.O.[Yashon O.],
Tateishi, R.,
Urban-trees extraction from Quickbird imagery using multiscale
spectex-filtering and non-parametric classification,
PandRS(63), No. 3, May 2008, pp. 333-351.
Elsevier DOI
0711
Quickbird; Urban-trees; Multiscale texture; Multiscale spectex-filtering;
Non-parametric classification
BibRef
Ardila, J.P.[Juan P.],
Tolpekin, V.A.[Valentyn A.],
Bijker, W.[Wietske],
Stein, A.[Alfred],
Markov-random-field-based super-resolution mapping for identification
of urban trees in VHR images,
PandRS(66), No. 6, November 2011, pp. 762-775.
Elsevier DOI
1112
Image classification; Markov random field; Super resolution mapping;
Urban trees; Contextual classification
BibRef
Ardila, J.P.[Juan P.],
Bijker, W.[Wietske],
Tolpekin, V.A.[Valentyn A.],
Stein, A.[Alfred],
Quantification of crown changes and change uncertainty of trees in an
urban environment,
PandRS(74), No. 1, November 2012, pp. 41-55.
Elsevier DOI
1212
Change detection; Fuzzy change; Object change detection; Tree crown
detection; Urban trees
BibRef
Höfle, B.[Bernhard],
Hollaus, M.[Markus],
Hagenauer, J.[Julian],
Urban vegetation detection using radiometrically calibrated
small-footprint full-waveform airborne LiDAR data,
PandRS(67), No. 1, January 2012, pp. 134-147.
Elsevier DOI
1202
Laser scanning; LiDAR; Calibration; Vegetation; Object based image
analysis; Full-waveform
BibRef
Shrestha, R.,
Wynne, R.,
Estimating Biophysical Parameters of Individual Trees in an Urban
Environment Using Small Footprint Discrete-Return Imaging Lidar,
RS(4), No. 2, February 2012, pp. 484-508.
DOI Link
1203
BibRef
Zhang, K.,
Hu, B.,
Individual Urban Tree Species Classification Using Very High Spatial
Resolution Airborne Multi-Spectral Imagery Using Longitudinal Profiles,
RS(4), No. 6, June 2012, pp. 1741-1757.
DOI Link
1208
BibRef
Agarwal, S.,
Vailshery, L.,
Jaganmohan, M.,
Nagendra, H.,
Mapping Urban Tree Species Using Very High Resolution Satellite
Imagery: Comparing Pixel-Based and Object-Based Approaches,
IJGI(2), No. 1, 2013, pp. 220-236.
DOI Link
1303
BibRef
Wu, B.,
Yu, B.,
Yue, W.,
Shu, S.,
Tan, W.,
Hu, C.,
Huang, Y.,
Wu, J.,
Liu, H.,
A Voxel-Based Method for Automated Identification and Morphological
Parameters Estimation of Individual Street Trees from Mobile Laser
Scanning Data,
RS(5), No. 2, February 2013, pp. 584-611.
DOI Link
1303
BibRef
Zhou, J.H.[Jian-Hua],
Yu, B.[Bailang],
Qin, J.[Jun],
Multi-Level Spatial Analysis for Change Detection of Urban Vegetation
at Individual Tree Scale,
RS(6), No. 9, 2014, pp. 9086-9103.
DOI Link
1410
BibRef
Zhang, C.Y.[Cai-Yun],
Zhou, Y.H.[Yu-Hong],
Qiu, F.[Fang],
Individual Tree Segmentation from LiDAR Point Clouds for Urban Forest
Inventory,
RS(7), No. 6, 2015, pp. 7892.
DOI Link
1507
BibRef
Li, D.[Dan],
Ke, Y.H.[Ying-Hai],
Gong, H.[Huili],
Li, X.J.[Xiao-Juan],
Object-Based Urban Tree Species Classification Using Bi-Temporal
WorldView-2 and WorldView-3 Images,
RS(7), No. 12, 2015, pp. 15861.
DOI Link
1601
BibRef
Li, L.[Lin],
Li, D.[Dalin],
Zhu, H.[Haihong],
Li, Y.[You],
A dual growing method for the automatic extraction of individual
trees from mobile laser scanning data,
PandRS(120), No. 1, 2016, pp. 37-52.
Elsevier DOI
1610
Individual tree
BibRef
Guan, H.Y.[Hai-Yan],
Cao, S.,
Yu, Y.T.[Yong-Tao],
Li, J.[Jonathan],
Liu, N.,
Chen, P.,
Li, Y.,
Street-Scene Tree Segmentation from Mobile Laser Scanning Data,
ISPRS16(B3: 221-225).
DOI Link
1610
BibRef
Li, Y.[You],
Li, L.[Lin],
Li, D.[Dalin],
Yang, F.[Fan],
Liu, Y.[Yu],
A Density-Based Clustering Method for Urban Scene Mobile Laser
Scanning Data Segmentation,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Yu, Y.T.[Yong-Tao],
Li, J.[Jonathan],
Guan, H.Y.[Hai-Yan],
Wang, C.[Cheng],
Wen, C.,
Bag of Contextual-Visual Words for Road Scene Object Detection From
Mobile Laser Scanning Data,
ITS(17), No. 12, December 2016, pp. 3391-3406.
IEEE DOI
1612
Automobiles
BibRef
Yu, Y.T.[Yong-Tao],
Li, J.[Jonathan],
Guan, H.Y.[Hai-Yan],
Wang, C.[Cheng],
Cheng, M.[Ming],
A Marked Point Process for Automated Tree Detection from Mobile Laser
Scanning Point Cloud Data,
CVRS12(140-145).
IEEE DOI
1302
See also Automated Detection of Three-Dimensional Cars in Mobile Laser Scanning Point Clouds Using DBM-Hough-Forests.
See also Traffic Sign Occlusion Detection Using Mobile Laser Scanning Point Clouds.
BibRef
Yu, Y.T.[Yong-Tao],
Li, J.,
Guan, H.[Haiyan],
Zai, D.,
Wang, C.,
Automated Extraction of 3D Trees from Mobile LiDAR Point Clouds,
CloseRange14(629-632).
DOI Link
1411
BibRef
Louarn, M.L.[Marine Le],
Clergeau, P.[Philippe],
Briche, E.[Elodie],
Deschamps-Cottin, M.[Magali],
'Kill Two Birds with One Stone': Urban Tree Species Classification
Using Bi-Temporal Pléiades Images to Study Nesting Preferences of an
Invasive Bird,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Branson, S.[Steve],
Wegner, J.D.[Jan Dirk],
Hall, D.[David],
Lang, N.[Nico],
Schindler, K.[Konrad],
Perona, P.[Pietro],
From Google Maps to a fine-grained catalog of street trees,
PandRS(135), No. Supplement C, 2018, pp. 13-30.
Elsevier DOI
1712
Deep learning, Image interpretation, Urban areas, Street trees,
Very high resolution
BibRef
Herfort, B.[Benjamin],
Höfle, B.[Bernhard],
Klonner, C.[Carolin],
3D micro-mapping: Towards assessing the quality of crowdsourcing to
support 3D point cloud analysis,
PandRS(137), 2018, pp. 73-83.
Elsevier DOI
1802
LiDAR, Urban trees, Crowdsourcing, Point cloud classification, Quality
BibRef
Zhang, Y.L.[Yong-Lin],
Dong, R.C.[Ren-Cai],
Impacts of Street-Visible Greenery on Housing Prices: Evidence from a
Hedonic Price Model and a Massive Street View Image Dataset in
Beijing,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Lin, Y.[Yi],
Jiang, M.[Miao],
A New Algorithm for MLS-Based DBH Mensuration and Its Preliminary
Validation in an Urban Boreal Forest: Aiming at One Cornerstone of
Allometry-Based Forest Biometrics,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Adeline, K.R.M.,
Briottet, X.,
Ceamanos, X.,
Dartigalongue, T.,
Gastellu-Etchegorry, J.P.,
ICARE-VEG: A 3D physics-based atmospheric correction method for tree
shadows in urban areas,
PandRS(142), 2018, pp. 311-327.
Elsevier DOI
1807
Atmospheric correction, Radiative transfer, Hyperspectral,
High spatial resolution, Tree shadows, Urban areas
BibRef
Singh, K.K.[Kunwar K.],
Chen, Y.H.[Yin-Hsuen],
Smart, L.[Lindsey],
Gray, J.[Josh],
Meentemeyer, R.K.[Ross K.],
Intra-annual phenology for detecting understory plant invasion in
urban forests,
PandRS(142), 2018, pp. 151-161.
Elsevier DOI
1807
Biological invasion, Vegetation indices, Vegetation phenology,
Normalized difference vegetation index, , Chinese privet, Random forest
BibRef
Vahidi, H.[Hossein],
Klinkenberg, B.[Brian],
Johnson, B.A.[Brian A.],
Moskal, L.M.[L. Monika],
Yan, W.[Wanglin],
Mapping the Individual Trees in Urban Orchards by Incorporating
Volunteered Geographic Information and Very High Resolution Optical
Remotely Sensed Data: A Template Matching-Based Approach,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Hu, R.H.[Rong-Hai],
Bournez, E.[Elena],
Cheng, S.[Shiyu],
Jiang, H.[Hailan],
Nerry, F.[Françoise],
Landes, T.[Tania],
Saudreau, M.[Marc],
Kastendeuch, P.[Pierre],
Najjar, G.[Georges],
Colin, J.[Jérôme],
Yan, G.[Guangjian],
Estimating the leaf area of an individual tree in urban areas using
terrestrial laser scanner and path length distribution model,
PandRS(144), 2018, pp. 357-368.
Elsevier DOI
1809
Individual tree, Leaf area, Foliage area volume density,
Terrestrial laser scanner, Urban areas, Path length distribution
BibRef
Wu, J.W.[Jian-Wei],
Yao, W.[Wei],
Polewski, P.[Przemyslaw],
Mapping Individual Tree Species and Vitality along Urban Road
Corridors with LiDAR and Imaging Sensors: Point Density versus View
Perspective,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Mozgeris, G.[Gintautas],
Juodkiene, V.[Vytaute],
Jonikavicius, D.[Donatas],
Straigyte, L.[Lina],
Gadal, S.[Sébastien],
Ouerghemmi, W.[Walid],
Ultra-Light Aircraft-Based Hyperspectral and Colour-Infrared Imaging
to Identify Deciduous Tree Species in an Urban Environment,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Wegner, J.D.,
Branson, S.,
Hall, D.,
Schindler, K.,
Perona, P.,
Cataloging Public Objects Using Aerial and Street-Level Images:
Urban Trees,
CVPR16(6014-6023)
IEEE DOI
1612
BibRef
Dogon-Yaro, M.A.,
Kumar, P.,
Abdul Rahman, A.,
Buyuksalih, G.,
Semi-Automated Approach for Mapping Urban Trees from Integrated Aerial
Lidar Point Cloud and Digital Imagery Datasets,
GGT16(127-134).
DOI Link
1612
BibRef
Böhm, J.,
Bredif, M.,
Gierlinger, T.,
Krämer, M.,
Lindenberg, R.,
Liu, K.,
Michel, F.,
Sirmacek, B.,
The Iqmulus Urban Showcase: Automatic Tree Classification And
Identification In Huge Mobile Mapping Point Clouds,
ISPRS16(B3: 301-307).
DOI Link
1610
BibRef
Moradi, A.,
Satari, M.,
Momeni, M.,
Individual Tree Of Urban Forest Extraction From Very High Density Lidar
Data,
ISPRS16(B3: 337-343).
DOI Link
1610
BibRef
Monnier, F.,
Vallet, B.,
Soheilian, B.,
Trees Detection From Laser Point Clouds Acquired In Dense Urban Areas
By A Mobile Mapping System,
AnnalsPRS(I-3), No. 2012, pp. 245-250.
HTML Version.
1209
BibRef
Liberge, S.[Sterenn],
Soheilian, B.[Bahman],
Chehata, N.[Nesrine],
Paparoditis, N.[Nicolas],
Extraction of vertical posts in 3D laser point clouds acquired in dense
urban areas by a Mobile Mapping System,
PCVIA10(B:126).
PDF File.
1009
BibRef
Kramer, H.,
Oldengarm, J.,
URBTREE: A Tree Growth Model for the Urban Environment,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
van der Sande, C.J.,
Automatic Object Recognition and Change Detection of Urban Trees,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Ardila, J.P.[Juan Pablo],
Tolpekin, V.A.[Valentyn A.],
Bijker, W.[Wietske],
Context-Sensitive Extraction of Tree Crown Objects in Urban Areas Using
VHR Satellite Images,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Tolpekin, V.A.[Valentyn A.],
Ardila, J.P.[Juan Pablo],
Bijker, W.[Wietske],
Super-Resolution Mapping for Extraction of Urban Tree Crown Objects
from VHR Satellite Images,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Bijker, W.[Wietske],
Ardila, J.P.[Juan Pablo],
Tolpekin, V.A.[Valentyn A.],
Change Detection and Uncertainty in Fuzzy Tree Crown Objects in an
Urban Environment,
GEOBIA10(xx-yy).
PDF File.
1007
BibRef
Yang, Y.[Yun],
Lin, Y.[Ying],
A Novel Deformable Model for Urban Vegetation Detection Using LiDAR
Data,
CISP09(1-5).
IEEE DOI
0910
BibRef
Huang, H.[Hai],
Terrestrial Image Based 3D Extraction of Urban Unfoliaged Trees of
Different Branching Types,
ISPRS08(B3a: 253 ff).
PDF File.
0807
BibRef
Huang, H.[Hai],
Mayer, H.[Helmut],
Extraction of 3D Unfoliaged Trees from Image Sequences Via a Generative
Statistical Approach,
DAGM07(385-394).
Springer DOI
0709
BibRef
Carlberg, M.[Matthew],
Gao, P.R.[Pei-Ran],
Chen, G.[George],
Zakhor, A.[Avideh],
Classifying urban landscape in aerial LiDAR using 3D shape analysis,
ICIP09(1701-1704).
IEEE DOI
0911
BibRef
Chen, G.[George],
Zakhor, A.[Avideh],
2D tree detection in large urban landscapes using aerial LiDAR data,
ICIP09(1693-1696).
IEEE DOI
0911
BibRef
Secord, J.,
Zakhor, A.,
Tree Detection in Aerial LiDar and Image Data,
ICIP06(2317-2320).
IEEE DOI
0610
BibRef
And:
Tree detection in LiDAR data,
Southwest06(86-90).
IEEE DOI
0603
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Trees, Forest Canopy Analysis .