Verfahren zur Registrierung von Laserscannerdaten in Waldbeständen | Methods for registration laser scanner point clouds in forest stands
Author(s) -
Anne Bienert,
K. Pech,
HansGerd Maas
Publication year - 2011
Publication title -
schweizerische zeitschrift fur forstwesen
Language(s) - English
Resource type - Journals
eISSN - 2235-1469
pISSN - 0036-7818
DOI - 10.3188/szf.2011.0178
Subject(s) - point cloud , laser scanning , computer science , remote sensing , ransac , tree (set theory) , artificial intelligence , iterative closest point , scanner , computer vision , lidar , point (geometry) , orthophoto , geography , laser , mathematics , optics , image (mathematics) , physics , mathematical analysis , geometry
Laser scanning is a fast and efficient 3-D measurement technique to capture surface points describing the geometry of a complex object in an accurate and reliable way. Besides airborne laser scanning, terrestrial laser scanning finds growing interest for forestry applications. These two different recording platforms show large differences in resolution, recording area and scan viewing direction. Using both datasets for a combined point cloud analysis may yield advantages because of their largely complementary information. In this paper, methods will be presented to automatically register airborne and terrestrial laser scanner point clouds of a forest stand. In a first step, tree detection is performed in both datasets in an automatic manner. In a second step, corresponding tree positions are determined using RANSAC. Finally, the geometric transformation is performed, divided in a coarse and fine registration. After a coarse registration, the fine registration is done in an iterative manner (ICP) using the point clouds itself. The methods are tested and validated with a dataset of a forest stand. The presented registration results provide accuracies which fulfill the forestry requirements.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom