Detecting Stems in Dense and Homogeneous Forest Using Single-Scan TLS

	Detecting Stems in Dense and Homogeneous Forest Using Single-Scan TLS
	Xia, Shaobo 1; Wang, Cheng 1; Pan, Feifei 1; Xi, Xiaohuan 1; Zeng, Hongcheng 1; Liu, He 1
刊名	FORESTS
	2015
卷号	6 期号:11 页码:5731-5751
关键词	single-scan TLS dense forest two-scale classification stem mapping
通讯作者	Wang, C (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.
英文摘要	Stem characteristics of plants are of great importance to both ecology study and forest management. Terrestrial laser scanning (TLS) may provide an effective way to characterize the fine-scale structures of vegetation. However, clumping plants, dense foliage and thin structure could intensify the shadowing effect and pose a series of problems in identifying stems, distinguishing neighboring stems, and merging disconnected stem parts in point clouds. This paper presents a new method to automatically detect stems in dense and homogeneous forest using single-scan TLS data. Stem points are first identified with a two-scale classification method. Then a clustering approach is used to group the candidate stem points. Finally, a direction-growing algorithm based on a simple stem curve model is applied to merge stem points. Field experiments were carried out in two different bamboo plots with a stem density of about 7500 stems/ha. Overall accuracy of the stem detection is 88% and the quality of detected stems is mainly affected by the shadowing effect. Results indicate that the proposed method is feasible and effective in detection of bamboo stems using TLS data, and can be applied to other species of single-stem plants in dense forests.
研究领域[WOS]	Forestry
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000365704000007
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38070]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Xia, Shaobo 2.Wang, Cheng 3.Xi, Xiaohuan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 4.[Xia, Shaobo] Univ Chinese Acad Sci, Beijing 100039, Peoples R China 5.[Pan, Feifei] Univ N Texas, Dept Geog, Denton, TX 76203 USA 6.[Zeng, Hongcheng] Univ Toronto, Fac Forestry, Toronto, ON M5S 2E8, Canada 7.[Liu, He] Beijing Zoo, Beijing 100044, Peoples R China
推荐引用方式 GB/T 7714	Xia, Shaobo,Wang, Cheng,Pan, Feifei,et al. Detecting Stems in Dense and Homogeneous Forest Using Single-Scan TLS[J]. FORESTS,2015,6(11):5731-5751.
APA	Xia, Shaobo,Wang, Cheng,Pan, Feifei,Xi, Xiaohuan,Zeng, Hongcheng,&Liu, He.(2015).Detecting Stems in Dense and Homogeneous Forest Using Single-Scan TLS.FORESTS,6(11),5731-5751.
MLA	Xia, Shaobo,et al."Detecting Stems in Dense and Homogeneous Forest Using Single-Scan TLS".FORESTS 6.11(2015):5731-5751.