Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Nationwide Point Cloud - The Future Topographic Core Data.

J. Virtanen, A. Kukko, H. Kaartinen, A. Jaakkola, T. Turppa, H. Hyyppä, and J. Hyyppä. ISPRS Int. J. Geo Inf., 6 (8): 243 (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Jaakkola, Anttoni

add a person with the name Jaakkola, Anttoni

Other publications of authors with the same name

Analysis of Incidence Angle and Distance Effects on Terrestrial Laser Scanner Intensity: Search for Correction Methods.S. Kaasalainen, A. Jaakkola, M. Kaasalainen, A. Krooks, and A. Kukko. Remote Sensing, 3 (10): 2207-2221 (2011)Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes.X. Yu, J. Hyyppä, M. Karjalainen, K. Nurminen, K. Karila, M. Vastaranta, V. Kankare, H. Kaartinen, M. Holopainen, E. Honkavaara and 6 other author(s). Remote. Sens., 7 (12): 15933-15954 (2015)Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data.E. Puttonen, M. Lehtomäki, H. Kaartinen, L. Zhu, A. Kukko, and A. Jaakkola. Remote Sensing, 5 (4): 1754-1773 (2013)Autonomous Collection of Forest Field Reference - The Outlook and a First Step with UAV Laser Scanning.A. Jaakkola, J. Hyyppä, X. Yu, A. Kukko, H. Kaartinen, X. Liang, H. Hyyppä, and Y. Wang. Remote. Sens., 9 (8): 785 (2017)Feasibility of Hyperspectral Single Photon Lidar for Robust Autonomous Vehicle Perception.J. Taher, T. Hakala, A. Jaakkola, H. Hyyti, A. Kukko, P. Manninen, J. Maanpää, and J. Hyyppä. Sensors, 22 (15): 5759 (2022)Scan matching technology for forest navigation with map information.Y. Chen, J. Tang, E. Khoramshahi, T. Hakala, H. Kaartinen, A. Jaakkola, J. Hyyppä, Z. Zhu, and R. Chen. PLANS, page 198-203. IEEE, (2016)Forest Data Collection Using Terrestrial Image-Based Point Clouds From a Handheld Camera Compared to Terrestrial and Personal Laser Scanning.X. Liang, Y. Wang, A. Jaakkola, A. Kukko, H. Kaartinen, J. Hyyppä, E. Honkavaara, and J. Liu. IEEE Trans. Geosci. Remote. Sens., 53 (9): 5117-5132 (2015)Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning.N. Saarinen, M. Vastaranta, M. Vaaja, E. Lotsari, A. Jaakkola, A. Kukko, H. Kaartinen, M. Holopainen, H. Hyyppä, and P. Alho. Remote. Sens., 5 (10): 5285-5303 (2013)Can global navigation satellite system signals reveal the ecological attributes of forests?J. Liu, J. Hyyppä, X. Yu, A. Jaakkola, X. Liang, H. Kaartinen, A. Kukko, L. Zhu, Y. Wang, and H. Hyyppä. Int. J. Appl. Earth Obs. Geoinformation, (2016)Possibilities of a Personal Laser Scanning System for Forest Mapping and Ecosystem Services.X. Liang, A. Kukko, H. Kaartinen, J. Hyyppä, X. Yu, A. Jaakkola, and Y. Wang. Sensors, 14 (1): 1228-1248 (2014)

BibSonomy

Disambiguation of "Jaakkola, Anttoni"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Nationwide Point Cloud - The Future Topographic Core Data.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jaakkola, Anttoni"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Nationwide Point Cloud - The Future Topographic Core Data.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Nationwide Point Cloud - The Future Topographic Core Data.