A
Anttoni Jaakkola
Researcher at Finnish Geodetic Institute
Publications - 81
Citations - 5259
Anttoni Jaakkola is an academic researcher from Finnish Geodetic Institute. The author has contributed to research in topics: Laser scanning & Forest inventory. The author has an hindex of 34, co-authored 80 publications receiving 4344 citations. Previous affiliations of Anttoni Jaakkola include Academy of Finland & University of Turku.
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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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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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Mini-UAV-Borne LIDAR for Fine-Scale Mapping
TL;DR: A pioneered mini-UAV-borne LIDAR system - Sensei is established schematically with an Ibeo Lux scanner mounted on a small Align T-Rex 600E helicopter to validate its applicability for fine-scale mapping, in terms of, e.g., tree height estimation, pole detection, road extraction, and digital terrain model refinement.
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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.