基于机载激光雷达数据识别单株木的新方法

doi:10.11873/j.issn.1004-0323.2011.2.196

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2011, Vol. 26 鈥衡�� Issue (2): 196-201.DOI: 10.11873/j.issn.1004-0323.2011.2.196

鈥� 鐮旂┒涓庡簲鐢� 鈥� 涓婁竴绡� 涓嬩竴绡�

鍩轰簬鏈鸿浇婵�鍏夐浄杈炬暟鎹瘑鍒崟鏍湪鐨勬柊鏂规硶

鍞愯彶鑿�^1,2,闃織鏁�³,鍒樻槦^1,2,寮犱簹鍒�^1,2顎�

(1.閲嶅簡澶у鍦熸湪宸ョ▼瀛﹂櫌,閲嶅簡400044;2.灞卞湴鍩庨晣寤鸿涓庢柊鎶�鏈暀鑲查儴閲嶇偣瀹為獙瀹ゎ��
(閲嶅簡澶у),閲嶅簡400045;3.鎷涘晢灞�閲嶅簡浜ら�氱鐮旇璁￠櫌鏈夐檺鍏徃,閲嶅簡400067)

鏀剁鏃ユ湡:2010-08-12 淇洖鏃ユ湡:2010-12-08 鍑虹増鏃ユ湡:2011-04-20 鍙戝竷鏃ユ湡:2011-07-25
浣滆�呯畝浠�:鍞愯彶鑿�(1980- ),濂�,鍥涘窛鍐呮睙浜�,鍗氬＋,璁插笀,涓昏浠庝簨鏈鸿浇婵�鍏夐浄杈炬暟鎹鐞嗙爺绌躲�侲mail:fftang80@126.com.

A New Method of Individual Tree Recognition based on Airborne LiDAR Data

TANG Fei-fei^1,,RUAN Zhi-min³,LIU Xing^1,2,ZHANG Ya-li^1,2顎�

(1.School of Civil Engineering,Chongqing University,Chongqing 400044,China;2.Key Laboratory of New Technology for Construction of Cities in Mountain Area(Chongqing University),Minsitry of Eductation,Chongqing 400045,China;3.China Merchants Chongqing Communications Research & Design Institue Co.,Ltd,Chongqing 400067,China)

Received:2010-08-12 Revised:2010-12-08 Online:2011-04-20 Published:2011-07-25

鎽樿/Abstract

鎽樿锛�

鍦ㄦ灄涓氬簲鐢ㄤ腑,鏈鸿浇婵�鍏夐浄杈炬妧鏈緝琚姩寮忛仴鎰熸妧鏈湁鐫�鐙壒浼樺娍銆備互浠庢満杞芥縺鍏夐浄杈炬暟鎹腑鍒嗙鍗曟牚鏈�,鎻愬彇鍗曟牚鏈ㄦ爲楂樺拰鏍戝啝澶у皬淇℃伅涓虹洰鐨�,铻嶅悎鏈夋爣璁扮害鏉熺殑鍒嗘按宀垎鍓插拰娴佸煙璺熻釜鍒嗗壊涓ょ鍥惧儚鍒嗗壊鏂规硶,鎻愬嚭涓�绉嶆柊鐨勫崟鏍湪璇嗗埆鎬濊矾銆備互缇庡浗鏌愬湴鍖哄疄鍦伴噰闆嗘縺鍏夐浄杈炬暟鎹负渚嬮獙璇佹湰鏂囨彁鍑烘柟娉�,瀹為獙缁撴灉琛ㄦ槑璇ユ柟娉曢�氳繃澧炲姞杈圭紭妫�娴嬭寖鍥寸殑绾︽潫鏉′欢,鑳藉鏈夋晥閬垮厤杩囧垎鍓茬幇璞�,骞堕�氳繃浣跨敤绾︽潫鏉′欢,鍑忓皯鍦ㄥ叾妫�娴嬭寖鍥村唴鐨勭洰鏍囨暟閲�,浠庤�岄伩鍏嶄笉蹇呰鐨勬娴嬪共鎵�,杈冧紶缁熸柟娉曡兘蹇�熷噯纭湴璇嗗埆鍗曟牚鏈ㄣ��

鍏抽敭璇�: 鏈鸿浇婵�鍏夐浄杈�, 鍗曟牚鏈�, 鏍戦珮, 鏍戝啝, 鍥惧儚鍒嗗壊, 鏍囪

Abstract:

In forestry applications,Airborne LiDAR has its unique superiorities compared to passive remote sensing.In this paper,a new individual tree recognition method was proposed to isolate individual tree and extract tree height,also the area of the tree crown,this method is the fusion of marker\|controlled watershed segmentation and valley\|following segmentation.Finally,a real LiDAR dataset was test,experiment results show that this method can perform edge detection effectively compared to methods before because detection constraint was added into it.The detection constraint can avoid over\|segmentation to some extend,and reduce the detection objects,which can avoid unnecessary detection noise.

Key words: Airborne LiDAR, Individual tree, Tree height, Tree crown, Image segmentation, Markers

涓浘鍒嗙被鍙�:

P 225.7

鍞愯彶鑿�,闃織鏁�,鍒樻槦,寮犱簹鍒╊��. 鍩轰簬鏈鸿浇婵�鍏夐浄杈炬暟鎹瘑鍒崟鏍湪鐨勬柊鏂规硶[J]. 閬ユ劅鎶�鏈笌搴旂敤, 2011, 26(2): 196-201.

TANG Fei-fei,RUAN Zhi-min,LIU XingZHANG Ya-li顎�. A New Method of Individual Tree Recognition based on Airborne LiDAR Data[J]. Remote Sensing Technology and Application, 2011, 26(2): 196-201.

鍙傝�冩枃鐚�

锛�1锛絃iu Qingwang,Li Zengyuan,Chen Erxue,et al.Extracting Height and Crown of Individual Tree Using Airborne LiDAR Data锛籎锛�.Journal of Beijing Forestry University,2008,30(6):83-89.锛诲垬娓呮椇,鏉庡鍏�,闄堝皵瀛�,绛�.鍒╃敤鏈鸿浇婵�鍏夐浄杈炬暟鎹彁鍙栧崟鏍湪鏍戦珮鍜屾爲鍐狅蓟J锛�.鍖椾含鏋椾笟澶у瀛︽姤,2008,30(6):83-89.锛�

顎�
锛�2锛絁uha H,Hannu H,George P.Automatic Derivation of Features Related to Forest Stand Attributes Using Laser Scanner锛籆锛�//International Archives of Photogrammety and Remote Sensing,2000,33:421-428.顎�

锛�3锛終im H,Haas C T,Rauch A F.3D Image Segmentation of Aggregates from Laser Profiling锛籎锛�.Computer Aided Civil and Infrastructure Engineering,2003,18:254-263.

顎�
锛�4锛紺hen Q,Baldocchi D,Gong P,et al.Isolating Individual Trees in a Savanna Woodland Using Small Footprint LiDAR Data.Photogrammetric锛籎锛�.Engineering & Remote Sensing,2006,72(8):923-932.

顎�
锛�5锛絑hao K,Popscu S.Hierachical Watershed Segmentation of Ca\|nopy Height Model for Multi\|scale Forest Inventory锛籆锛�//International Archives of Photogrammetry and Remote Sensing,2007,36,part 3/W52:436-441.顎�

锛�6锛絁uha H,Kelle O,Lehikoinen M,et al.A Segmentation\|based Method to Retrieve Stem Volume Estimates from 3\|D Tree Height Models Produced by Laser Scanner锛籎锛�.IEEE Transactions on Geoscience and Remote Sensing,2001,39(5):969-975.顎�

锛�7锛絋iede D.A Full GIS based Workflow for Tree Identification and Delineation Using Laser Scanning.The International Archives of Photogrammetry锛籎锛�.Remote Sensing and Spatial Information Science,2005,36:9-14.顎�

锛�8锛紽riedlaender H,Koch B.First Experiments in the Application of Laser Scanner Data for the Assessment of Vertical and Horizontal Forest Structures锛籆锛�//International Archives of Photogrammety and Remote Sensing,2000,33,part B7.Amsterdam.顎�

锛�9锛絃eckie D,Gougeon F,Hill D,et al.Combined High\|density LiDAR and Multispectral Imagery for Individual Tree Crown Analysis锛籎锛�.Canadian Journal of Remote Sensing,2003,29(5):633-649.顎�
锛�10锛絋ang Feifei,Liu Jingnan,Zhang Xiaohong,et al.A Voxel\|based Filtering Algorithm for DTM Data Extraction in Forest Areas锛籎锛�.Journal of Beijing Forestry University,2009,31(1):55-59.锛诲攼鑿茶彶,鍒樼粡鍗�,寮犲皬绾�,绛�.鍩轰簬浣撶礌鐨勬．鏋楀湴鍖烘満杞絃iDAR鏁版嵁DTM鎻愬彇锛籎锛�.鍖椾含鏋椾笟澶у瀛︽姤,2009,31(1):55-59.锛�

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鍩轰簬鏈鸿浇婵�鍏夐浄杈炬暟鎹瘑鍒崟鏍湪鐨勬柊鏂规硶

A New Method of Individual Tree Recognition based on Airborne LiDAR Data

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鎽樿/Abstract

寮曠敤鏈枃

浣跨敤鏈枃

鍙傝�冩枃鐚�

鐩稿叧鏂囩珷 15

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