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Antero Kukko
Researcher at Aalto University
Publications - 173
Citations - 7988
Antero Kukko is an academic researcher from Aalto University. The author has contributed to research in topics: Laser scanning & Point cloud. The author has an hindex of 44, co-authored 154 publications receiving 6483 citations. Previous affiliations of Antero Kukko include National Land Survey of Finland & Academy of Finland.
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Journal ArticleDOI
Terrestrial laser scanning in forest inventories
Xinlian Liang,Xinlian Liang,Ville Kankare,Ville Kankare,Juha Hyyppä,Juha Hyyppä,Yunsheng Wang,Yunsheng Wang,Antero Kukko,Antero Kukko,Antero Kukko,Henrik Haggrén,Xiaowei Yu,Xiaowei Yu,Harri Kaartinen,Anttoni Jaakkola,Anttoni Jaakkola,Fengying Guan,Markus Holopainen,Markus Holopainen,Mikko Vastaranta,Mikko Vastaranta +21 more
TL;DR: In this article, the advances of applying terrestrial laser scanning (TLS) in forest inventories, discusses its properties with reference to other related techniques and discusses the future prospects of this technique.
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An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning
Harri Kaartinen,Juha Hyyppä,Xiaowei Yu,Mikko Vastaranta,Hannu Hyyppä,Antero Kukko,Markus Holopainen,Christian Heipke,Manuela Hirschmugl,Felix Morsdorf,Erik Næsset,Juho Pitkänen,Sorin C. Popescu,Svein Solberg,Bernd-Michael Wolf,Jee-Cheng Wu +15 more
TL;DR: The accuracy of tree height, after removing gross errors, was better than 0.5 m in all tree height classes with the best methods investigated in this experiment, suggesting minimum curvature-based tree detection accompanied by point cloud-based cluster detection for suppressed trees is a solution that deserves attention in the future.
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Remote sensing methods for power line corridor surveys
Leena Matikainen,Matti Lehtomäki,Eero Ahokas,Juha Hyyppä,Mika Karjalainen,Anttoni Jaakkola,Antero Kukko,Tero Heinonen +7 more
TL;DR: The review shows that most previous studies have concentrated on the mapping and analysis of network components, and more attention should be given to an integrated use of various data sources to benefit from the various techniques in an optimal way.
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A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
TL;DR: A novel low-cost mini-UAV-based laser scanning system capable of not only recording point cloud data giving the geometry of the objects, but also simultaneously collecting image data, including overlapping images and the intensity of laser backscatter, as well as hyperspectral and thermal data is presented.
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Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data
TL;DR: An automatic method was developed for the extraction of pole-like objects from VLS data that was able to find 77.7% of the poles which were found by a manual investigation of the data.