Research progress in the methods and applications of individual tree crown’s automatic extraction by high spatial resolution remote sensing

LIU Xiao-shuang; HUANG Jian-wen; JU Hong-bo

doi:10.11833/j.issn.2095-0756.2010.01.021

Volume 27 Issue 1

Feb. 2010

Turn off MathJax

Article Contents

Article Navigation > Journal of Zhejiang A&F University > 2010 > 27(1): 126-133

LIU Xiao-shuang, HUANG Jian-wen, JU Hong-bo. Research progress in the methods and applications of individual tree crown’s automatic extraction by high spatial resolution remote sensing[J]. Journal of Zhejiang A&F University, 2010, 27(1): 126-133. doi: 10.11833/j.issn.2095-0756.2010.01.021

Citation:

LIU Xiao-shuang, HUANG Jian-wen, JU Hong-bo. Research progress in the methods and applications of individual tree crown’s automatic extraction by high spatial resolution remote sensing[J]. Journal of Zhejiang A&F University, 2010, 27(1): 126-133. doi: 10.11833/j.issn.2095-0756.2010.01.021

Research progress in the methods and applications of individual tree crown’s automatic extraction by high spatial resolution remote sensing

doi: 10.11833/j.issn.2095-0756.2010.01.021

1.
Research Institute of Forest Resources Information Technique，The Chinese Academy of Forestry，Beijing 100091，China

More Information

Corresponding author: JU Hong-bo
Publish Date: 2010-02-20

Abstract

Automatic extraction and delineation of individual tree crown using high spatial resolution remote sensing is an efficient method to obtain forest information，and is also a hot issue in forest remote sensing research. In this article，different approaches of individual tree crown extraction were introduced in details，including local maxima，template matching，valley-following，multiple scale，seeded region growing，watershed segmentation，local transects. The application of individual tree crown extraction in the field of forestry was concluded. Finally，combined with current international research progress，the future of automatic extraction of individual tree crown was expected. ［Ch，51 ref.］
- forest management,
- high spatial resolution,
- tree crown extraction,
- valley-following approach,
- local maxima,
- multiple scale,
- template matching,
- review

Relative Article

[1]	WU Lizhou, WANG Xiaohui, WANG Zhihui, FANG Xin, ZHU Tingyu, DING Lixia. Crops identification based on hyperspectral data and random forest method . Journal of Zhejiang A&F University, 2020, 37(1): 136-142. doi: 10.11833/j.issn.2095-0756.2020.01.018
[2]	YANG Haibin, ZHANG Maozhen, DING Lixia, YU Xiaohui. Site quality evaluation of Cunninghamia lanceolata plantations in Zhejiang Province based on maximum DBH growth rate . Journal of Zhejiang A&F University, 2020, 37(1): 105-113. doi: 10.11833/j.issn.2095-0756.2020.01.014
[3]	GUO Wenting, ZHANG Xiaoli. Vegetation classification based on a multi-feature Sentinel-2 time series . Journal of Zhejiang A&F University, 2019, 36(5): 849-856. doi: 10.11833/j.issn.2095-0756.2019.05.002
[4]	TONG Liang, LI Pingheng, ZHOU Guomo, ZHOU Yufeng, LI Chong. A review of research about rhizome-root system in bamboo forest . Journal of Zhejiang A&F University, 2019, 36(1): 183-192. doi: 10.11833/j.issn.2095-0756.2019.01.023
[5]	ZHANG Zhaopeng, LI Zengyuan, TIAN Xin. Precise identification of forest land types based on high resolution remotely sensed imagery . Journal of Zhejiang A&F University, 2019, 36(5): 857-867. doi: 10.11833/j.issn.2095-0756.2019.05.003
[6]	ZHANG Jie, YIN Dejie, GUAN Haiyan, QU Qiqi, DONG Li. An overview of Sedum spp. Research . Journal of Zhejiang A&F University, 2018, 35(6): 1166-1176. doi: 10.11833/j.issn.2095-0756.2018.06.022
[7]	MU Yanan, DING Lixia, LI Nan, LU Linying, WU Ming. Classification of coastal wetland vegetation in Hangzhou Bay with an object-oriented, random forest model . Journal of Zhejiang A&F University, 2018, 35(6): 1088-1097. doi: 10.11833/j.issn.2095-0756.2018.06.012
[8]	MO Qin, CHEN Zhibo, XIE Shiqin, CHEN Mingjian, XIA Chaozong. Developing a system for monitoring high resolution forestry ecological projects . Journal of Zhejiang A&F University, 2017, 34(4): 737-742. doi: 10.11833/j.issn.2095-0756.2017.04.021
[9]	CHEN Dong, WU Baoguo, LIU Jiancheng, LU Yuanchang. Design and implementation of forest management knowledge service system based on frame representation . Journal of Zhejiang A&F University, 2017, 34(3): 491-500. doi: 10.11833/j.issn.2095-0756.2017.03.015
[10]	HAO Hong, XU Chang-qing, ZHANG Xin-ping. Aerial image information extraction based on non-negative matrix factorization . Journal of Zhejiang A&F University, 2012, 29(1): 72-77. doi: 10.11833/j.issn.2095-0756.2012.01.013
[11]	WANG Ni, PENG Shi-kui, LI Ming-shi. High-resolution remote sensing of textural images for tree species classification . Journal of Zhejiang A&F University, 2012, 29(2): 210-217. doi: 10.11833/j.issn.2095-0756.2012.02.010
[12]	YU Kang, ZHANG Li, GUO Ping. Review on China’s agricultural TFP：1989 － 2009 . Journal of Zhejiang A&F University, 2012, 29(1): 111-118. doi: 10.11833/j.issn.2095-0756.2012.01.019
[13]	GUO Hui-hui, JIANG Wen-wei, MEI Yan-xia. Landscape pattern analysis of Yinzhou new city zone based on high spatial resolution aerial photos . Journal of Zhejiang A&F University, 2012, 29(3): 344-351. doi: 10.11833/j.issn.2095-0756.2012.03.005
[14]	DENG Ying-ying, TANG Meng-ping, XU Wen-bing, CHEN Yong-gang, LOU Ming-hua, ZHAO Ming-shui. Spatial structure of bamboo culm of an almost natural，pure Phyllostachys pubescens forest in Mount Tianmu . Journal of Zhejiang A&F University, 2011, 28(2): 173-179. doi: 10.11833/j.issn.2095-0756.2011.02.001
[15]	WANG Yi-xiang, CHEN Yong-gang, TANG Meng-ping, HONG Min, CHEN Hai-feng, CHEN De-hu. A plugin analysis system for forest spatial structure based on GIS and .NET . Journal of Zhejiang A&F University, 2011, 28(5): 720-726. doi: 10.11833/j.issn.2095-0756.2011.05.006
[16]	WANG Hang-jun, ZHANG Guang-qun, QI Heng-nian, LI Wen-zhu. A review of research on wood recognition technology . Journal of Zhejiang A&F University, 2009, 26(6): 896-902.
[17]	GONG Zhi-wen, KANG Xin-gang, GU Li, ZHAO Jun-hui, ZHENG Yan-feng, YANG Hua. Research methods on natural forest stand structure：a review . Journal of Zhejiang A&F University, 2009, 26(3): 434-443.
[18]	ZHANG Mao-zhen, TANG Xiao-ming, WANG Ya-xin, ZHANG Huai-qing, WU Dong-liang. Oracle DBMS based forest resources spatial database storage . Journal of Zhejiang A&F University, 2008, 25(4): 411-416.
[19]	LUO Xian-xian, KANG Xin-gang. Progress in research on the comprehensive monitoring of forest resources . Journal of Zhejiang A&F University, 2008, 25(6): 803-809.
[20]	DAI Jian-bing, YU Yi-wu, CAO Qun. Summary of research on wetland protection and management . Journal of Zhejiang A&F University, 2006, 23(3): 328-333.

References
Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(7534) PDF downloads(254) Cited by()

Proportional views

Research progress in the methods and applications of individual tree crown’s automatic extraction by high spatial resolution remote sensing

1. Research Institute of Forest Resources Information Technique，The Chinese Academy of Forestry，Beijing 100091，China

Corresponding author: JU Hong-bo

Publish Date: 2010-02-20

Key words:

Abstract: Automatic extraction and delineation of individual tree crown using high spatial resolution remote sensing is an efficient method to obtain forest information，and is also a hot issue in forest remote sensing research. In this article，different approaches of individual tree crown extraction were introduced in details，including local maxima，template matching，valley-following，multiple scale，seeded region growing，watershed segmentation，local transects. The application of individual tree crown extraction in the field of forestry was concluded. Finally，combined with current international research progress，the future of automatic extraction of individual tree crown was expected. ［Ch，51 ref.］

Research progress in the methods and applications of individual tree crown’s automatic extraction by high spatial resolution remote sensing

doi: 10.11833/j.issn.2095-0756.2010.01.021

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views