24.4.13 Trees, Individual Trees

Chapter Contents (Back)
Trees. Individual Tree. Crowns:
See also Tree Crowns, Crown Shape, Crown Delineation. Often this is range based.
See also Urban Trees, Individual Trees, Street Trees. Related, but more larger areas:
See also Trees, Forest Canopy Analysis.
See also Trees, Forest, Stem Volume, Aboveground Biomass Measurements.
See also Citrus Trees, Orchards, Diseases.
See also Inspection -- Lumber, Logs, Wood.

Kraus, K., Pfeifer, N.,
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Larsen, M.[Morten], and Rudemo, M.[Mats],
Optimizing templates for finding trees in aerial photographs,
PRL(19), No. 12, 30 October 1998, pp. 1153-1162. BibRef 9810
Earlier:
Using Ray-Traced Templates to Find Individual Trees in Aerial Photographs,
SCIA97(xx-yy)
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Larsen, M.[Morten], Rudemo, M.[Mats],
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Combine data from multiple views. Use for tree models. BibRef

Larsen, M.,
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Larsen, M., Rudemo, M.,
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Haering, N.C.[Niels C.], da Vitoria Lobo, N.[Niels],
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Haering, N.C.[Niels C.], Myles, Z.[Zarina], da Vitoria Lobo, N.[Niels],
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Evans, D.L.[David L.], Roberts, S.D.[Scott D.], McCombs, J.W.[John W.], Harrington, R.L.[Richard L.],
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Persson, A., Holmgren, J., and Söderman, U.,
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Brandtberg, T.[Tomas],
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Calibration; Forestry; Lidar; Segmentation; Species classification BibRef

Carleer, A., Wolff, E.,
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Moffiet, T., Mengersen, K., Witte, C., King, R., Denham, R.,
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Hallberg, B., Smith-Jonforsen, G., Ulander, L.M.H.,
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Hosoi, F.[Fumiki], Omasa, K.[Kenji],
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Wolf, B.M.[Bernd-Michael], Heipke, C.[Christian],
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Straub, B.M., Heipke, C.,
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Straub, B.M.[Bernd-M.],
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Investigation of the MPEG-7 Homogeneuos Texture Descriptor for the Automatic Extraction of Trees,
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Heipke, C.[Christian], Straub, B.M.[Bernd M.],
Automatic Extraction and Updating of Vegetation Areas in GIS from Satellite Imagery,
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Palenichka, R.M.[Roman M.], Zaremba, M.B.[Marek B.],
Multiscale Isotropic Matched Filtering for Individual Tree Detection in LiDAR Images,
GeoRS(45), No. 12, December 2007, pp. 3944-3956.
IEEE DOI 0711
BibRef
Earlier:
Scale-Adaptive Segmentation and Recognition of Individual Trees Based on LiDAR Data,
ICIAR07(1082-1092).
Springer DOI 0708

See also Automatic Extraction of Control Points for the Registration of Optical Satellite and LiDAR Images. BibRef

Kononov, A.A., Ka, M.H.,
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Teng, C.H.[Chin-Hung], Chen, Y.S.[Yung-Sheng], Hsu, W.H.[Wen-Hsing],
An Approach to Extracting Trunk from an Image,
IEICE(E89-D), No. 4, April 2006, pp. 1596-1600.
DOI Link 0604
Tree trunks. Not for aerial images though. BibRef

Teng, C.H.[Chin-Hung], Chen, Y.S.[Yung-Sheng],
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Hill, R.A., Broughton, R.K.,
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PandRS(64), No. 2, March 2009, pp. 223-233.
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LIDAR; Laser scanning; Forestry; Model; Mapping BibRef

Lu, W.L.[Wei-Lwun], Murphy, K.P., Little, J.J.[James J.], Sheffer, A.[Alla], Fu, H.B.[Hong-Bo],
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GeoRS(47), No. 8, August 2009, pp. 2913-2922.
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Lu, W.L.[Wei-Lwun], Little, J.J.[James J.], Sheffer, A.[Alla], Fu, H.B.[Hong-Bo],
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Reitberger, J., Schnorr, C., Krzystek, P., Stilla, U.,
3D segmentation of single trees exploiting full waveform LIDAR data,
PandRS(64), No. 6, November 2009, pp. 561-574.
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BibRef
Earlier:
3D Segmentation of Full Waveform LIDAR Data for Single Tree Detection Using Normalized Cut,
ISPRS08(B3a: 77 ff).
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LIDAR; Segmentation; Aerial survey; Clustering; Forestry BibRef

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Yao, W., Krzystek, P., Heurich, M.,
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Reitberger, J.[Josef], Krzystek, P.[Peter], Stilla, U.[Uwe],
Combined Tree Segmentation and Stem Detection Using Full Waveform Lidar Data,
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Earlier:
Analysis of Full Waveform Lidar Data for Tree Species Classification,
PCV06(xx-yy).
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Suratno, A.[Agus], Seielstad, C.[Carl], Queen, L.[Lloyd],
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North America; Conifer; Laser scanning; Intensity; Tree species BibRef

Aksoy, S., Akcay, H.G., Wassenaar, T.,
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Heikkinen, V., Tokola, T., Parkkinen, J., Korpela, I., Jaaskelainen, T.,
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Heikkinen, V., Korpela, I., Tokola, T., Honkavaara, E., Parkkinen, J.,
An SVM Classification of Tree Species Radiometric Signatures Based on the Leica ADS40 Sensor,
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Dufva, T., Praks, J., Jarvenpaa, S., Sarvas, J.,
Scattering Model for a Pine Tree Employing VIE With a Broadband MLFMA and Comparison to ICA,
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Jaakkola, A.[Anttoni], Hyyppa, J.[Juha], Kukko, A.[Antero], Yu, X.W.[Xiao-Wei], Kaartinen, H.[Harri], Lehtomaki, M.[Matti], Lin, Y.[Yi],
A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements,
PandRS(65), No. 6, November 2010, pp. 514-522.
Elsevier DOI 1101
Laser scanning; Mobile; Unmanned aerial vehicle; Multi-sensor; Multitemporal BibRef

Yu, X.W.[Xiao-Wei], Hyyppa, J.[Juha], Vastaranta, M.[Mikko], Holopainen, M.[Markus], Viitala, R.[Risto],
Predicting individual tree attributes from airborne laser point clouds based on the random forests technique,
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Laser scanning; Forestry; Prediction; Feature; Detection BibRef

Kononov, A.A., Wyholt, A., Sandberg, G., Ulander, L.M.H.,
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Usability of Sunlit-Shaded Area Separation in Individual Tree Species Classification,
Laser09(311). 0909
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Vaughn, N., Moskal, L.M., Turnblom, E.,
Tree Species Detection Accuracies Using Discrete Point Lidar and Airborne Waveform Lidar,
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International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning,
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Kaartinen, H.[Harri], Hyyppä, J.[Juha], Yu, X.W.[Xiao-Wei], Vastaranta, M.[Mikko], Hyyppä, H.[Hannu], Kukko, A.[Antero], Holopainen, M.[Markus], Heipke, C.[Christian], Hirschmugl, M.[Manuela], Morsdorf, F.[Felix], Næsset, E.[Erik], Pitkänen, J.H.[Ju-Ho], Popescu, S.[Sorin], Solberg, S.[Svein], Wolf, B.M.[Bernd Michael], Wu, J.C.[Jee-Cheng],
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Immitzer, M.[Markus], Atzberger, C.[Clement], Koukal, T.[Tatjana],
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Immitzer, M.[Markus], Atzberger, C.[Clement], Koukal, T.[Tatjana],
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Buddenbaum, H.[Henning], Hill, J.[Joachim],
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Wang, L.[Lei], Birt, A.G.[Andrew G.], Lafon, C.W.[Charles W.], Cairns, D.M.[David M.], Coulson, R.N.[Robert N.], Tchakerian, M.D.[Maria D.], Xi, W.M.[Wei-Min], Popescu, S.C.[Sorin C.], Guldin, J.M.[James M.],
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Betbeder, J.[Julie], Nabucet, J.[Jean], Pottier, E.[Eric], Baudry, J.[Jacques], Corgne, S.[Samuel], Hubert-Moy, L.[Laurence],
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Wang, Z.[Zhen], Zhang, L.Q.[Li-Qiang], Fang, T.[Tian], Mathiopoulos, P.T., Qu, H.M.[Hua-Min], Chen, D.[Dong], Wang, Y.B.[Yue-Bin],
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Liang, X.L.[Xin-Lian], Jaakkola, A.[Anttoni], Wang, Y.S.[Yun-Sheng], Hyyppä, J.[Juha], Honkavaara, E.[Eija], Liu, J.B.[Jing-Bin], Kaartinen, H.[Harri],
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Graves, S.J.[Sarah J.], Asner, G.P.[Gregory P.], Martin, R.E.[Roberta E.], Anderson, C.B.[Christopher B.], Colgan, M.S.[Matthew S.], Kalantari, L.[Leila], Bohlman, S.A.[Stephanie A.],
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DOI Link 2106
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Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images,
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Parameterization of the Individual Tree Detection Method Using Large Dataset from Ground Sample Plots and Airborne Laser Scanning for Stands Inventory in Coniferous Forest,
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Leaf and Wood Separation for Individual Trees Using the Intensity and Density Data of Terrestrial Laser Scanners,
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IEEE DOI 2108
Vegetation, Estimation, Forestry, Surface emitting lasers, Instruments, Reliability, terrestrial laser scanning (TLS) BibRef

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Kaminska, A.[Agnieszka], Lisiewicz, M.[Maciej], Sterenczak, K.[Krzysztof],
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UAV-Based LiDAR Scanning for Individual Tree Detection and Height Measurement in Young Forest Permanent Trials,
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Yu, K.Y.[Kun-Yong], Hao, Z.B.[Zhen-Bang], Post, C.J.[Christopher J.], Mikhailova, E.A.[Elena A.], Lin, L.[Lili], Zhao, G.[Gejin], Tian, S.F.[Shang-Feng], Liu, J.[Jian],
Comparison of Classical Methods and Mask R-CNN for Automatic Tree Detection and Mapping Using UAV Imagery,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
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Ma, K.[Kaisen], Chen, Z.X.[Zhen-Xiong], Fu, L.[Liyong], Tian, W.L.[Wan-Li], Jiang, F.[Fugen], Yi, J.[Jing], Du, Z.[Zhi], Sun, H.[Hua],
Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types,
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Zhang, C.[Chong], Zhou, J.W.[Jia-Wei], Wang, H.[Huiwen], Tan, T.Y.[Tian-Yi], Cui, M.C.[Meng-Chen], Huang, Z.[Zilu], Wang, P.[Pei], Zhang, L.[Li],
Multi-Species Individual Tree Segmentation and Identification Based on Improved Mask R-CNN and UAV Imagery in Mixed Forests,
RS(14), No. 4, 2022, pp. xx-yy.
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Suwardhi, D.[Deni], Fauzan, K.N.[Kamal Nur], Harto, A.B.[Agung Budi], Soeksmantono, B.[Budhy], Virtriana, R.[Riantini], Murtiyoso, A.[Arnadi],
3D Modeling of Individual Trees from LiDAR and Photogrammetric Point Clouds by Explicit Parametric Representations for Green Open Space (GOS) Management,
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Cao, W.[Wei], Wu, J.Y.[Jia-Yi], Shi, Y.F.[Yu-Feng], Chen, D.[Dong],
Restoration of Individual Tree Missing Point Cloud Based on Local Features of Point Cloud,
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Ramtvedt, E.N.[Eirik Næsset], Gobakken, T.[Terje], Næsset, E.[Erik],
Fine-Spatial Boreal-Alpine Single-Tree Albedo Measured by UAV: Experiences and Challenges,
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Morgan, C.J.[Carli J.], Powers, M.[Matthew], Strimbu, B.M.[Bogdan M.],
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Maldonado, C.[Carlos], Mora-Poblete, F.[Freddy], Echeverria, C.[Cristian], Baettig, R.[Ricardo], Torres-Díaz, C.[Cristian], Contreras-Soto, R.I.[Rodrigo Iván], Heidari, P.[Parviz], Lobos, G.A.[Gustavo Adolfo], Teixeira do Amaral Júnior, A.[Antônio],
A Neural Network-Based Spectral Approach for the Assignment of Individual Trees to Genetically Differentiated Subpopulations,
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Sparks, A.M.[Aaron M.], Corrao, M.V.[Mark V.], Smith, A.M.S.[Alistair M. S.],
Cross-Comparison of Individual Tree Detection Methods Using Low and High Pulse Density Airborne Laser Scanning Data,
RS(14), No. 14, 2022, pp. xx-yy.
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Carpenter, J.[Joshua], Jung, J.[Jinha], Oh, S.C.[Sung-Chan], Hardiman, B.[Brady], Fei, S.L.[Song-Lin],
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Ning, X.J.[Xiao-Juan], Ma, Y.[Yishu], Hou, Y.Y.[Yuan-Yuan], Lv, Z.Y.[Zhi-Yong], Jin, H.Y.[Hai-Yan], Wang, Y.H.[Ying-Hui],
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Individual Tree Detection in Coal Mine Afforestation Area Based on Improved Faster RCNN in UAV RGB Images,
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Brodic, N.[Nenad], Cvijetinovic, Ž.[Željko], Milenkovic, M.[Milutin], Kovacevic, J.[Jovan], Stancic, N.[Nikola], Mitrovic, M.[Momir], Mihajlovic, D.[Dragan],
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Xi, Z.X.[Zhou-Xin], Hopkinson, C.[Chris],
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Wang, Z.C.[Zhi-Chao], Lu, X.[Xin], An, F.[Feng], Zhou, L.J.[Li-Jun], Wang, X.J.[Xiang-Jun], Wang, Z.H.[Zhi-Hao], Zhang, H.Q.[Huai-Qing], Yun, T.[Ting],
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Tree Species Classification Using Airborne LiDAR Data Based on Individual Tree Segmentation and Shape Fitting,
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Niwa, H.[Hideyuki], Dai, G.[Guihang], Ogawa, M.[Midori], Kamada, M.[Mahito],
Development of a Monitoring Method Using UAVs That Can Detect the Occurrence of Bark Stripping by Deer,
RS(15), No. 3, 2023, pp. xx-yy.
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Wang, F.Y.[Fei-Yu], Bryson, M.[Mitch],
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Wang, Z.[Zhen], Li, P.[Pu], Cui, Y.C.[Yuan-Cheng], Lei, S.[Shuowen], Kang, Z.Z.[Zhi-Zhong],
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xo Ning, X.J.[Xiao-Juan], Ma, Y.[Yishu], Hou, Y.Y.[Yuan-Yuan], Lv, Z.Y.[Zhi-Yong], Jin, H.Y.[Hai-Yan], Wang, Z.[Zengbo], Wang, Y.H.[Ying-Hui],
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Pu, Y.[Yihan], Xu, D.D.[Dan-Dan], Wang, H.B.[Hao-Bin], Li, X.[Xin], Xu, X.[Xia],
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Xia, K.[Kai], Li, C.[Cheng], Yang, Y.[Yinhui], Deng, S.[Susu], Feng, H.L.[Hai-Lin],
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Kleinsmann, J.[Jasper], Verbesselt, J.[Jan], Kooistra, L.[Lammert],
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Mao, Z.H.[Zhi-Hui], Lu, Z.[Zhuo], Wu, Y.J.[Yan-Jie], Deng, L.[Lei],
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Sun, J.J.[Jing-Jing], Lin, Y.[Yi],
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Jayathunga, S.[Sadeepa], Pearse, G.D.[Grant D.], Watt, M.S.[Michael S.],
Unsupervised Methodology for Large-Scale Tree Seedling Mapping in Diverse Forestry Settings Using UAV-Based RGB Imagery,
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Urban trees mapping, Tree species detection, Multi-modal deep learning, Computer vision BibRef

Wang, J.S.[Jian-Sen], Zhang, H.Q.[Huai-Qing], Liu, Y.[Yang], Zhang, H.C.[Hua-Cong], Zheng, D.P.[Dong-Ping],
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Liu, Y.[Yuchan], Chen, D.[Dong], Fu, S.[Shihan], Mathiopoulos, P.T.[Panagiotis Takis], Sui, M.M.[Ming-Ming], Na, J.M.[Jia-Ming], Peethambaran, J.[Jiju],
Segmentation of Individual Tree Points by Combining Marker-Controlled Watershed Segmentation and Spectral Clustering Optimization,
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Fu, Y.[Yuwen], Niu, Y.F.[Yi-Fang], Wang, L.[Li], Li, W.[Wang],
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Yu, J.[Jiao], Lei, L.[Lei], Li, Z.H.[Zhen-Hong],
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Tong, P.[Pinmo], Zhang, X.S.[Xi-Shan], Han, P.C.[Peng-Cheng], Bu, S.H.[Shu-Hui],
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ICPR21(9546-9552)
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Location awareness, Deep learning, Image segmentation, Annotations, Feature extraction, Market research, Pattern recognition BibRef

Polewski, P., Shelton, J., Yao, W., Heurich, M.,
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Han, L.T., Merry, M., Gee, T., Strozzi, A.G., Delmas, P., Gimel'farb, G.,
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IVCNZ17(1-6)
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Barilotti, A.[Andrea], Sepic, F.[Francesco], Barilotti, A.[Andrea], Crosilla, F.[Fabio], Sepic, F.[Francesco],
Curvature Analysis of Lidar Data for Single Tree Species Classification in alpine Latitude Forests,
Laser09(129). 0909
BibRef

Barnea, S., Filin, S., Alchanatis, V.,
A Supervised Approach for Object Extraction from Terrestrial Laser Point Clouds Demonstrated on Trees,
PIA07(135).
PDF File. 0711
BibRef

Bienert, A., Scheller, S., Keane, E., Mohan, F., Nugent, C.,
Tree Detection and Diameter Estimations by Analysis of Forest Terrestrial Laserscanner Point Clouds,
Laser07(50).
PDF File. 0709

See also Methods for the automatic geometric registration of terrestrial laser scanner point clouds in forest stands. BibRef

Bienert, A., Scheller, S., Keane, E., Mullooly, G., Mohan, F.,
Application of terrestrial laserscanners for the determination of forest inventory parameters,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Rossmann, J., Schluse, M., Bücken, A., Krahwinkler, P.,
Using Airborne Laser-Scanner-Data in Forestry Management: A Novel Approach to Single Tree Delineation,
Laser07(350).
PDF File. 0709
BibRef

Litkey, P., Rönnholm, P., Lumme, J., Liang, X.,
Waveform Features for Tree Identification,
Laser07(258).
PDF File. 0709
BibRef

Chen, L.C.[Liang-Chien], Teo, T.A.[Tee-Ann], Chiang, T.W.[Tsai-Wei],
The Generation of 3D Tree Models by the Integration of Multi-sensor Data,
PSIVT06(34-43).
Springer DOI 0612
BibRef

Shi, X.Z.[Xiao-Zhe], Zakhor, A.[Avideh],
Fast approximation for geometric classification of LiDAR returns,
ICIP11(2925-2928).
IEEE DOI 1201
BibRef

Radoux, J., Defourny, P.,
GIS-Driven Classification of Satellite Imagery,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Radoux, J., Defourny, P.,
Influence of image segmentation parameters on positional and spectral quality of the derived objects,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Stach, N., Barnerias, C., Dommanget, A.,
Hedges and tree rows detection with E-Cognition for the use of the French national forest inventory,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Asmar, D.C.[Daniel C.], Zelek, J.S.[John S.], Abdallah, S.M.[Samer M.],
Tree Trunks as Landmarks for Outdoor Vision SLAM,
PercOrg06(196).
IEEE DOI 0609
BibRef
Earlier:
Seeing the Trees before the Forest,
CRV05(587-593).
IEEE DOI 0505
BibRef

Mayer, S.,
Extraction of Tree Groups from High-resolution Digital Surface Models,
ICIP00(Vol II: 712-715).
IEEE DOI 0008
BibRef

Pinz, A.J., Bischof, H.,
Constructing a neural network for the interpretation of the species of trees in aerial photographs,
ICPR90(I: 755-757).
IEEE DOI 9006
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Tree Crowns, Crown Shape, Crown Delineation .


Last update:Mar 16, 2024 at 20:36:19