Remote Sensing Technology and Application, Volume. 39, Issue 1, 34(2024)
Extraction of Individual Tree Crown based on UAV Tilt Photogrammetry
[1] CHEN D X, COUGHENOUR M B. GEMTM: A general model for energy and mass transfer of land surfaces and its application at the FIFE sites. Agricultural and Forest Meteorology, 68, 145-171(1994).
[2] LI X, STRAHLER A H, WOODCOCK C E. A hybrid geometric optical-radiative transfer approach for modeling albedo and directional reflectance of discontinuous canopies. IEEE Transactions on Geoscience and Remote Sensing, 33, 466-480(1995).
[3] NI W, LI X, WOODCOCK C E et al. Transmission of solar radiation in boreal conifer forests: Measurements and models. Journal of Geophysical Research Atmospheres, 102, 29555-29566(1997).
[4] SONG C, BAND L E. MVP: a model to simulate the spatial patterns of photosynthetically active radiation under discrete forest canopies. Canadian Journal of Forest Research, 34, 1192-1203(2004).
[5] ZENG Xiahui, WANG Ying, ZENG Zhangquan et al. Research on extraction of tree crown information from UAV images. Journal of Central South University of Forestry and Technology, 40, 75-82(2020).
[6] WU Ningshan, WANG Jiaxi, ZHANG Yan et al. Determining tree species and crown width from unmanned aerial vehicle imagery in hilly loess region of west Shanxi,China: A case study from Caijiachuan watershed. Acta Agriculturae Zhejiangensis, 33, 1505-1518(2021).
[7] LIU Jianli, LIAO Xiaohan, NI Wenjian et al. Individual tree recognition algorithm of UAV stereo imagery considering Three-dimensional morphology of tree. Journal of Geo-information Science, 23, 1861-1872(2021).
[8] FOURNIER R A, EDWARDS G, ELDRIDGE N R. A catalogue of potential spatial discriminators for high spatial resolution digital images of individual crowns. Canadian Journal of Remote Sensing, 21, 285-298(1995).
[9] GOUGEON F A. Comparison of possible multispectral classification schemes for tree crowns individually delineated on high spatial resolution MEIS images. Canadian Journal of Remote Sensing, 21, 1-9(1995).
[10] ASNER G P, ARCHER S, HUGHES R F et al. Net changes in regional woody vegetation cover and carbon storage in Texas Drylands, 1937-1999. Global change biology, 9, 316-335(2003).
[11] WULDER M A, WHITE J C, NIEMANN K O et al. Comparison of airborne and satellite high spatial resolution data for the identification of individual trees with local maxima filtering. International Journal of Remote Sensing, 25, 2225-2232(2004).
[12] FALKOWSKI M J, SMITH A M S, HUDAK A T et al. Automated estimation of individual conifer tree height and crown diameter via two-dimensional spatial wavelet analysis of lidar data. Canadian Journal of Remote Sensing, 32, 153-161(2006).
[13] STRAND E K, SMITH A M S, BUNTING S C et al. Wavelet estimation of plant spatial patterns in multitemporal aerial photography. International Journal of Remote Sensing, 27, 2049-2054(2006).
[14] POPESCU S C. Estimating biomass of individual pine trees using airborne lidar. Biomass and Bioenergy, 31, 646-655(2007).
[15] CROMMELINCK S, BENNETT R, GERKE M et al. Review of automatic feature extraction from high-resolution optical sensor data for UAV-based cadastral mapping. Remote Sensing, 8, 689(2016).
[16] KANEKO K, NOHARA S. Review of effective vegetation mapping using the UAV(Unmanned Aerial Vehicle) method. Journal of Geographic Information System, 6, 733-742(2014).
[17] ADHIKARI A, KUMAR M, AGRAWAL S et al. An integrated object and machine learning approach for tree canopy extraction from UAV datasets. Journal of the Indian Society of Remote Sensing, 49, 471-478(2021).
[18] YANG Guodong, WANG Minshui. The tilt photographic measuration technique and expectation. Geomatics & Spatial Information Technology, 39, 13-18(2016).
[19] SWETNAM T L, FALK D A. Application of metabolic scaling theory to reduce error in local maxima tree segmentation from Aerial LiDAR. Forest Ecology and Management, 323, 158-167(2014).
[20] LIU Jianli, ZHANG Zhiyu, NI Wenjian et al. Individual tree recognition algorithm based on unmanned Aerial vehicle image matching point cloud. Remote Sensing Information, 34, 93-101(2019).
[21] TENG Wenxiu, WANG Ni, SHI Huihui et al. Tree species classification of high resolution image combining with object-oriented and deep feature. Bulletin of Surveying and Mapping, 38-42(2019).
[22] SUN Zhenfeng, ZHANG Xiaoli, LI Niwen. Comparison of individual tree crown extraction method and suitability of airborne and spaceborne high-resolution remote sensing images. Journal of Beijing Forestry University, 41, 66-75(2019).
[23] ZHEN Zhen, LI Xiang, XIU Siyu et al. Individual tree crown delineation using maker-controlled region growing method. Journal of Northeast Forestry University, 44, 22-29(2016).
[24] JIANG Renrong, WANG Chunyan, SHEN Liqiang et al. A method for Lichee’s tree-crown information extraction based on high spatial resolution image. Transactions of the Chinese Society for Agricultural Machinery, 47, 17-22(2016).
[25] YANG J, HE Y, CASPERSEN J P et al. Delineating individual tree crowns in an uneven-aged, mixed broadleaf forest using multispectral watershed segmentation and multiscale fitting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 1390-1401(2017).
[26] SHI Huihui, WANG Ni, TENG Wenxiu et al. Tree canopy extraction method of high resolution image based on Gabor filter and Morphology. Journal of Geo-information Science, 21, 249-258(2019).
[27] LI Minghua, CHEN Yuzhu, ZHOU Shufang et al. Extraction and recognition of individual tree information on aerial image data used Watershed Algorithm. Journal of Northeast Forestry University, 47, 58-70(2019).
[28] YU Xuzhai, WANG Ruirui, CHEN Weijie. Forest canopy segmentation of UAV remote sensing images using improved Watershed Algorithm. Journal of Fujian Agriculture and Forestry University (Natural Science Edition), 47, 428-434(2018).
[29] ZHOU Yanfei, ZHANG Huifang, LI Xia et al. Extraction of tree-crown of Populus Euphratica and Tamarix Ramosissima based on high resolution remote sensing data. Remote Sensing Technology and Application, 30, 510-517(2015).
[30] WANG Yapei, WANG Zhenxi. tianshanica based on UAV images. Journal of Central South University of Forestry & Technology, 40, 57-66(2020).
[31] SHEN Liqiang, JIANG Renrong, WANG Peifa. A method for individual tree-crown extraction from high spatial resolution imagery. Remote Sensing Information, 32, 142-148(2017).
[32] LI W, NIU Z, CHEN H et al. Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system. Ecological Indicators, 67, 637-648(2016).
[33] LI Zengyuan, LIU Qingwang, PANG Yong. Review on forest parameters inversion using LiDAR. Journal of Remote Sensing, 20, 1138-1150(2016).
[34] HE Yi, ZHOU Xiaocheng, HUANG Hongyu et al. Counting tree number in subtropical forest districts based on UAV remote sensing imagery. Remote Sensing Technology and Application, 33, 168-176(2018).
[35] CHEN Q, BALDOCCHI D, GONG P et al. Isolating individual trees in a savanna woodland using small footprint lidar data. Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry, 72, 923-932(2006).
[36] WANG Xinyun, HUANG Yang, XING Yanqiu et al. The single tree segmentation of UAV high-density LiDAR point cloud data based on coniferous plantations. Journal of Central South University of Forestry & Technology, 42, 66-77(2022).
[37] DU Yihong, YIN Tian, ZHOU Xuemei et al. Extraction of individual tree parameters of Chinese pine by oblique photogrammetry. Journal of Beijing Forestry University, 43, 77-86(2021).
[38] LUO Ya, XU Jianhua, YUE Wenze et al. A comparative study of extracting urban vegetation information by vegetation indices from thematic mapper images. Remote Sensing Technology and Application, 21, 212-219(2006).
[39] MAO Zhihui, DENG Lei, HE Ying et al. Vegetation index for visible-light true-color image using hue and lightness color channels. Journal of Image and Graphics, 22, 1602-1610(2017).
[40] GITELSON A A, KAUFMAN Y J, STARK R et al. Novel algorithms for remote estimation of vegetation fraction. Remote Sensing of Environment, 80, 76-87(2002).
[41] WOEBBECKE D M, MEYER G E, VON BARGEN K et al. Color indices for weed identification under various soil, residue, and lighting conditions. Transactions of the ASAE, 38, 259-269(1995).
[42] MEYER G E, HINDMAN T W, LAKSMI K. Machine vision detection parameters for plant species identification, 3543, 327-335(1999).
[43] MEYER G E, JOAO C N. Verification of color vegetation indices for automated crop imaging applications. Computers and Electronics in Agriculture, 63, 282-293(2008).
[44] YUAN Mingyue, CHEN Guanyu. Study on improved algorithm of median filtering based on grey correlation. Geomatics & Spatial Information Technology, 43, 124-130(2020).
[45] HE Dajin, XU Ke. Change survey methods based on incremental database. Bulletin of Surveying and Mapping, 2012, 37-53.
[46] ZENG Jian, ZHANG Xiaoli, ZHOU Xuemei et al. Extraction of topographic information of larch plantation by oblique photogrammetry. Journal of Beijing Forestry University, 41, 1-12(2019).
Get Citation
Copy Citation Text
Shuxin CHEN, Bingjie LIU, Haiyi WANG, Yong SU, Qiuyi AI, Xin TIAN. Extraction of Individual Tree Crown based on UAV Tilt Photogrammetry[J]. Remote Sensing Technology and Application, 2024, 39(1): 34
Category: Research Articles
Received: Aug. 8, 2022
Accepted: --
Published Online: Jul. 22, 2024
The Author Email: Shuxin CHEN (chensx@ifrit.ac.cn)