基于樹梢聚類算法的防護林單木樹高估測

打開文本圖片集

中圖分類號：TP183；TP751 文獻標志碼：A

Abstract：Treehightisanimportantcharacteristicofforeststandructureinshelterbelts，nditsaccuratemeasurementelpsto clearlyrflettegrowthconditionofteshelterbeltTheshelerbeltinNortnXinjiangarecharacterizedydiversetreespecies regularcrownshapes，overlappingcrowns，anddensevegetation.Traditionalmethodsoftreeheightestimation，whichareprimarily manualsamplingsurveys，suferfromlowprecisionandeficiency.Thisstudyproposesanovelalgorithmbasedonmachine-cadLiDARdataforclusteringtre crows.Thealgorithmfirstemploysasliding windowtechniquetoextracttreetopsandcrowns，thenuses clusteringtouatelydetectsingletepositiosubseuntlytperfsascondusteingarondteetecedsingleitionstoobtainacloudofsingletreepointsandextractsthehighestpointastheestimatedtreeheight.Thismethodnotonlyenhances theprecisionoftreeheightestimationbutalsoeliminatesthecumbersomefieldsurveywork．Theresearchfidingsindicatethathealgorithm can efectively adapt to the selected research area’s stand structure and terrain environment，achieving over 60 % accuracy in single tree detection across three research areas.For the detected trees，it can reach an accuracy of over 8 8 % when compared with field surveydataforestimatingtreeheight.Thisstudyprovidesvaluablereferencesandgudanceformachine-carredLiDARinforeststand structure explorationand treeheight estimation.

Keywords：airborne LiDAR;euclidean clustering algorithm;tree height estimation;shelterbelt

防護林是具有一定樹種組成和結(jié)構(gòu)功能的生態(tài)防護體系，是干旱沙區(qū)人工綠洲的生態(tài)屏障，在防治風(fēng)沙災(zāi)害、改善區(qū)域小氣候、保障人民正常生產(chǎn)生活等方面具有重要作用[1]。（剩余15049字）