Enhanced Algorithms for Estimating Tree Trunk Diameter Using 2D Laser Scanner

Remote Sensing

Ola Ringdahl²  Peter Hohnloser²  Thomas Hellström²  Johan Holmgren¹ 

[1] Department of Forest Resource Management, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden; E-Mail:;Department of Computing Science, Umeå University, SE-901 87 Umeå, Sweden; E-Mail:

关键词: beam width compensation;    multiple laser scans;    stem diameter;    forestry;    accuracy and quality;    terrestrial laser scanning;    mobile laser scanning;   

DOI  :  10.3390/rs5104839

来源: mdpi

【 摘 要 】

Accurate vehicle localization in forest environments is still an unresolved problem. Global navigation satellite systems (GNSS) have well known limitations in dense forest, and have to be combined with for instance laser based SLAM algorithms to provide satisfying accuracy. Such algorithms typically require accurate detection of trees, and estimation of tree center locations in laser data. Both these operations depend on accurate estimations of tree trunk diameter. Diameter estimations are important also for several other forestry automation and remote sensing applications. This paper evaluates several existing algorithms for diameter estimation using 2D laser scanner data. Enhanced algorithms, compensating for beam width and using multiple scans, were also developed and evaluated. The best existing algorithms overestimated tree trunk diameter by ca. 40%. Our enhanced algorithms, compensating for laser beam width, reduced this error to less than 12%.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland