基于地面激光雷达点云数据的森林树高、胸径自动提取与三维重建

doi:10.11873/j.issn.1004-0323.2019.2.0243

鎽樿/Abstract

鎽樿锛� 閽堝浜氱儹甯︾幆澧冩潯浠朵笅妫灄鏍戦珮銆佽兏寰勮嚜鍔ㄥ寲鎻愬彇绮惧害杈冧綆銆佸崟鏈ㄥ舰鎬佹ā鎷熻緝涓哄洶闅剧殑闂锛屾彁鍑哄熀浜庡湴闈㈡縺鍏夐浄杈剧偣浜戞暟鎹彁鍙栨．鏋楁爲楂樸�佽兏寰勫強閲嶅缓妫灄鍦烘櫙涓夌淮妯″瀷鐨勬柟娉曘�傞鍏堥噰鐢ㄥ彉灏哄害鍦伴潰鐐硅瘑鍒硶鑾峰彇鍦伴潰鐐瑰苟鏋勫缓DEM銆傜劧鍚庢牴鎹爲鏈ㄤ富骞茬偣浜戜富鏂瑰悜鐩镐技搴﹀強杞村悜鍒嗗竷瀵嗗害鍒嗗壊涓诲共涓庡叾浠栨鐗╁櫒瀹樼偣浜戙�傛帴鐫�浠ヤ富骞茬偣浜戜负鍩虹锛岄噰鐢ㄨ凯浠ｆ渶灏忎簩涔樻嫙鍚堝渾鏌辩殑鏂规硶鑷姩鎻愬彇鏍戞湪浣嶇疆銆佽兏寰勶紱鏋勫缓鐐逛簯鐨勫叓鍙夋爲缁撴瀯锛屽埄鐢ㄤ綋绱犵殑绌洪棿閭绘帴鎬у疄鐜扮偣浜戝垎鍓诧紝鑷姩鎻愬彇鏍戦珮銆傛渶鍚庯紝缁撳悎鍗曟牚妞嶇墿寤烘ā鎶�鏈紝浠ユ爲鏍硅妭鐐逛负绾藉甫鏋勫缓鏍峰湴灏哄害涓婄殑妫灄鍦烘櫙涓夌淮妯″瀷銆傚疄楠岀粨鏋滄樉绀猴紝鑳稿緞浼版祴顎奟²涓�0.996锛屽钩鍧囩浉瀵硅宸负2.09%锛孯MSE涓�0.66 cm锛涙爲楂樹及娴婻²涓�0.972锛屽钩鍧囩浉瀵硅宸负2.16%锛孯MSE涓�0.92 m锛涙墍閲嶅缓鐨勬．鏋楀満鏅笁缁存ā鍨嬪彲琛ㄨ揪妫灄鏍峰湴鐨勭湡瀹炲舰鎬併��

鍏抽敭璇�: 鍦伴潰婵�鍏夐浄杈�, 鏍戦珮, 鑳稿緞, 鐐逛簯鍒嗗壊, 涓夌淮閲嶅缓

Abstract: In view of the low accuracy of Tree Height(TH) and Diameter at Breast Height(DBH) estimation锛宎s well as the difficulty of individual tree modeling in dense forest锛宎 method to extract forest structure parameters(TH and DBH) and reconstruct a Three-Dimensional(3D) model of forest in subtropical environment based on TLS point cloud data is proposed.The first step is to apply a multi-scale method to extract the ground points for the generation of Digital Elevation Model(DEM).Secondly锛寀sing similarity of principal direction between neighboring points and distribution density of points锛宼runk and other plant organs are separated.Next the trunk points are processed to automatically estimate the tree position and DBH by iterative least squares cylinder fitting;the tree height is automatically estimated by using the octree segmentation.Finally锛宐y combining with the technology of individual tree modeling锛宎 plot-scale 3D forest scene has been reconstructed by planting individual tree model on the terrain model iteratively.The results showed that the correlation coefficient of DBH is R²=0.996锛宎nd the average relative error was 2.09%锛孯MSE was 0.66 cm;the correlation coefficient of tree height is R²=0.972锛宎nd the average relative error was 2.16% with RMSE of 0.92 m.The plot-scale reconstructed 3D model of the forest can express the true shape of forest.

Key words: Terrestrial laser scanner, Tree height, Diameter at Breast Height(DBH), Point cloud segmentation, 3D reconstruction

涓浘鍒嗙被鍙�:

楠嗛挵娉�, 榛勬椽瀹�, 鍞愪附鐜�, 闄堝磭鎴�, 寮犳旦. 鍩轰簬鍦伴潰婵�鍏夐浄杈剧偣浜戞暟鎹殑妫灄鏍戦珮銆佽兏寰勮嚜鍔ㄦ彁鍙栦笌涓夌淮閲嶅缓顎僛J]. 閬ユ劅鎶�鏈笌搴旂敤, 2019, 34(2): 243-252.

Luo Yubo, Huang Hongyu, Tang Liyu, Chen Chongcheng, Zhang Hao. Tree Height and Diameter Extraction with 3D Reconstruction in a Forest based on TLS[J]. Remote Sensing Technology and Application, 2019, 34(2): 243-252.

鍙傝�冩枃鐚�

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鍩轰簬鍦伴潰婵�鍏夐浄杈剧偣浜戞暟鎹殑妫灄鏍戦珮銆佽兏寰勮嚜鍔ㄦ彁鍙栦笌涓夌淮閲嶅缓顎�

Tree Height and Diameter Extraction with 3D Reconstruction in a Forest based on TLS

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鍙鍖�

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

缂栬緫鎺ㄨ崘

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鏈枃璇勪环

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