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Elsevier DOI
0711
Quickbird; Urban-trees; Multiscale texture; Multiscale spectex-filtering;
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Image classification; Markov random field; Super resolution mapping;
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Ardila, J.P.[Juan P.],
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1212
Change detection; Fuzzy change; Object change detection; Tree crown
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Laser scanning; LiDAR; Calibration; Vegetation; Object based image
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1610
Individual tree
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Guan, H.Y.[Hai-Yan],
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See also Automated Detection of Three-Dimensional Cars in Mobile Laser Scanning Point Clouds Using DBM-Hough-Forests.
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Elsevier DOI
1712
Award, U.V. Helava, ISPRS. Deep learning, Image interpretation, Urban areas, Street trees,
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LiDAR, Urban trees, Crowdsourcing, Point cloud classification, Quality
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Elsevier DOI
1807
Atmospheric correction, Radiative transfer, Hyperspectral,
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1807
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1809
Individual tree, Leaf area, Foliage area volume density,
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Vegetation, Laser radar, Urban areas,
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2001
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Geocoding, Global optimization, Deep learning,
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Wegner, J.D.,
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Maksimainen, M.[Mikko],
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Nighttime Mobile Laser Scanning and 3D Luminance Measurement:
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Hierarchical Modeling of Street Trees Using Mobile Laser Scanning,
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Katz, D.S.W.[Daniel S. W.],
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Chi, D.[Dengkai],
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Urban Tree Health Classification Across Tree Species by Combining
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Supervised Segmentation of Ultra-High-Density Drone Lidar for
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2010
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Wang, Y.J.[Yong-Jun],
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He, S.B.[Shao-Bai],
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Xu, Y.X.[Yan-Xin],
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2012
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Wang, Y.T.[Yu-Tang],
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Safaie, A.H.[Amir Hossein],
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Automated Street Tree Inventory Using Mobile LiDAR Point Clouds Based
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Elsevier DOI
2103
Trees inventory, Mobile LiDAR, Point clouds, Hough transform,
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Przewozna, P.[Patrycja],
Hawrylo, P.[Pawel],
Zieba-Kulawik, K.[Karolina],
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Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on
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Luo, H.F.[Hai-Feng],
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PandRS(175), 2021, pp. 326-339.
Elsevier DOI
2105
Mobile laser scanning point clouds,
Individual tree extraction, Semantic segmentation, Deep learning
See also Automatic Extraction of Roadside Traffic Facilities From Mobile Laser Scanning Point Clouds Based on Deep Belief Network.
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Lumnitz, S.[Stefanie],
Devisscher, T.[Tahia],
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Mapping trees along urban street networks with deep learning and
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Elsevier DOI
2105
Deep learning, Instance segmentation,
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Wang, Z.[Zhe],
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Application and Evaluation of a Deep Learning Architecture to Urban
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2105
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Kim, A.R.[A Reum],
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Phenological Changes of Mongolian Oak Depending on the Micro-Climate
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2105
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Characterizing and classifying urban tree species using bi-monthly
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Elsevier DOI
2106
Urban tree, Hyperspectral library, Tree species, Seasonality,
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Jiang, F.[Fugen],
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Kutia, M.[Mykola],
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A Novel Spatial Simulation Method for Mapping the Urban Forest Carbon
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Martins, J.A.C.[José Augusto Correa],
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Gonçalves, W.N.[Wesley Nunes],
Sant'Ana, D.A.[Diego André],
Ramos, A.P.M.[Ana Paula Marques],
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Semantic Segmentation of Tree-Canopy in Urban Environment with
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Tree Extraction from Airborne Laser Scanning Data in Urban Areas,
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2109
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Li, Y.Q.,
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Xiao, W.,
Street Tree Information Extraction and Dynamics Analysis From Mobile
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ISPRS20(B2:271-277).
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2012
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Alpan, K.,
Sekeroglu, B.,
Tree Inventory Registration System,
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2012
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Tokunaga, M.,
Extraction of Debilitated Trees Along the Road By Blocked NDVI,
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2012
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Fan, W.,
Yang, B.,
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Dong, Z.,
Using Mobile Laser Scanning Point Clouds to Extract Urban Roadside
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2012
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Dogon-Yaro, M.A.,
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Abdul Rahman, A.,
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Semi-Automated Approach for Mapping Urban Trees from Integrated Aerial
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The Iqmulus Urban Showcase: Automatic Tree Classification And
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Moradi, A.,
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Individual Tree Of Urban Forest Extraction From Very High Density Lidar
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Automated Large Scale Parameter Extraction of Road-Side Trees Sampled
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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 Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Trees, Forest Canopy Analysis .