[1] Lu X K. Tree species classification and 3D visualization based on airborne LiDAR and hyperspectral data[D]. Chengdu: University of Electric Science and Technology of China(2018).
[2] Zhao F. Forest parameter extraction using LiDAR data and digital camera image[D]. Beijing: Chinese Academy of Forestry(2007).
[3] Anitha K, Joseph S, Chandran R J et al. Tree species diversity and community composition in a human-dominated tropical forest of Western Ghats biodiversity hotspot, India[J]. Ecological Complexity, 7, 217-224(2010). http://www.sciencedirect.com/science/article/pii/S1476945X10000073
[4] Heinzel J, Koch B. Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation[J]. International Journal of Applied Earth Observation and Geoinformation, 18, 101-110(2012). http://www.sciencedirect.com/science/article/pii/S030324341200027X
[5] Wang C Y, Wang A L, Wang J Y et al. Coastal zone land use information extraction based on objectoriented classification method[J]. Journal of Natural Resources, 29, 1589-1597(2014).
[6] Holmgren J, Persson Å. Identifying species of individual trees using airborne laser scanner[J]. Remote Sensing of Environment, 90, 415-423(2004). http://www.sciencedirect.com/science/article/pii/S0034425703001408
[7] Hollaus M, Wagner W, Eberhöfer C et al. Accuracy of large-scale canopy heights derived from LiDAR data under operational constraints in a complex alpine environment[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 60, 323-338(2006). http://www.sciencedirect.com/science/article/pii/S092427160600044X
[8] Liu Q W, Li Z Y, Chen E X et al. Extracting height and crown of individual tree using airborne LiDAR data[J]. Journal of Beijing Forestry University, 30, 83-89(2008).
[9] Zhao D. Individual tree parameters extraction based on lidar and hyper-spectrum data[D]. Beijing: Chinese Academy of Forestry(2012).
[10] Li JL, Hu BX, Noland T L. Classification of tree species based on structural features derived from high density LiDAR data[J]. Agricultural and ForestMeteorology, 2013, 171/172: 104-114.
[11] Wei T. Tree-level structure characterization based on static terrestrial laser scanning point clouds[D]. Tangshan: North China University of Science and Technology(2015).
[12] Cao L, Coops N C, Innes J L et al. Tree species classification in subtropical forests using small-footprint full-waveform LiDAR data[J]. International Journal of Applied Earth Observation and Geoinformation, 49, 39-51(2016). http://www.sciencedirect.com/science/article/pii/S0303243416300071
[13] Wang J, Zhang L Y, Lü C D et al. Tree species identification methods based on point cloud data using ground-based LiDAR[J]. Transactions of the Chinese Society of Agricultural Machinery, 49, 180-188(2018).
[14] Kantola T, Vastaranta M, Yu X W et al. Classification of defoliated trees using tree-level airborne laser scanning data combined with aerial images[J]. Remote Sensing, 2, 2665-2679(2010). http://www.cabdirect.org/abstracts/20113033364.html
[15] Puttonen E, Suomalainen J, Hakala T et al. Tree species classification from fused active hyperspectral reflectance and LiDAR measurements[J]. Forest Ecology and Management, 260, 1843-1852(2010). http://www.sciencedirect.com/science/article/pii/S0378112710004901
[16] Lin Y, Hyyppä J. A comprehensive but efficient framework of proposing and validating feature parameters from airborne LiDAR data for tree species classification[J]. International Journal of Applied Earth Observation and Geoinformation, 46, 45-55(2016). http://www.sciencedirect.com/science/article/pii/S0303243415300611
[17] Haralick R M, Shanmugam K. SMC-[J]. Dinstein I. Textural features for image classification. IEEE Transactions on Systems, Man, Cybernetics, 3, 610-621(1973).
[18] Wei X H, Wang Y G, Zheng J et al. Tree crown volume calculation based on 3-D laser scanning point clouds data[J]. Transactions of the Chinese Society for Agricultural Machinery, 44, 235-240(2013).
[19] Xu W H, Feng Z K, Su Z F et al. An automatic extraction algorithm for individual tree crown projection area and volume based on 3D point cloud data[J]. Spectroscopy and Spectral Analysis, 34, 465-471(2014).
[20] Zhang D, Yan R, Yun T et al. The 3D reconstruction of tree branches from point cloud based on terrestrial laser scanner[J]. Journal of Forestry Engineering, 1, 107-114(2016).