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  • 标题:Tree species recognition by combination of terrestrial laserscanning with high resolution panoramic images
  • 本地全文:下载
  • 作者:Norbert Haala ; Ralf Reulke
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2004
  • 卷号:XXXIV-5/W16
  • 出版社:Copernicus Publications
  • 摘要:The management and planning of forests presumes the availability of up-to-date information on their current state. The relevant pa- rameters like tree species, diameter of the bowl in defined heights, tree heights and positions are usually represented by a forest in- ventory. In order to allow the collection of these inventory parameters, an approach aiming on the integration of a terrestrial laser scanner and a high resolution panoramic camera has been developed. The integration of these sensors provides geometric informa- tion from distance measurement and high resolution radiometric information from the panoramic images. In order to enable a com- bined evaluation, in the first processing step a coregistration of both data sets is required. Afterwards geometric quantities like posi- tion and diameter of trees can be derived from the LIDAR data, whereas texture parameters as derived from the high resolution panoramic imagery can be applied for tree species recognition
  • 关键词:Forestry; Inventory; LIDAR; Texture; Fusion; Scanner
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