Harri Kaartinen mainly investigates Remote sensing, Laser scanning, Point cloud, Tree and Forest inventory. His Remote sensing research integrates issues from Mobile laser scanning, Canopy, Calibration and Vegetation. As part of the same scientific family, Harri Kaartinen usually focuses on Laser scanning, concentrating on Feature extraction and intersecting with Volume estimation.
His Point cloud research is multidisciplinary, incorporating elements of Photogrammetry and Lidar. Harri Kaartinen interconnects Spatial analysis and Plot in the investigation of issues within Tree. His research in Plot intersects with topics in Terrestrial laser scanning, Field and Ground truth.
Remote sensing, Laser scanning, Point cloud, Tree and Lidar are his primary areas of study. Many of his research projects under Remote sensing are closely connected to Reference data with Reference data, tying the diverse disciplines of science together. His Laser scanning research incorporates themes from Change detection, Computer vision, Artificial intelligence and Mobile mapping.
His work in Point cloud covers topics such as Terrain which are related to areas like Elevation. His work deals with themes such as Mean squared error, Statistics, Volume, Plot and Ground truth, which intersect with Tree. His Lidar research is multidisciplinary, relying on both Ranging, Data processing, Water content and Standard deviation.
His primary scientific interests are in Remote sensing, Laser scanning, Point cloud, Lidar and Atmospheric sciences. His work in Laser scanning addresses issues such as Canopy, which are connected to fields such as Taiga and Volume. His Point cloud study combines topics in areas such as Quality, Photogrammetry, Inertial measurement unit and Database.
His Lidar research incorporates elements of Data processing and Photon. The various areas that Harri Kaartinen examines in his Atmospheric sciences study include Terrestrial laser scanning, Intensity and Temporal scales. His Tree research includes elements of Mean squared error, Forest inventory, Scanner and Plot.
Harri Kaartinen focuses on Laser scanning, Reference data, Remote sensing, Tree and Lidar. His Laser scanning study integrates concerns from other disciplines, such as Field, Canopy, Backpack and Taiga. His research integrates issues of Mean squared error, Forest inventory, Scanner, Volume and Blossom algorithm in his study of Tree.
His work carried out in the field of Lidar brings together such families of science as Point cloud, Data processing and Plot.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning
Harri Kaartinen;Juha Hyyppä;Xiaowei Yu;Mikko Vastaranta.
Remote Sensing (2012)
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data
Pasi Raumonen;Mikko Kaasalainen;Markku Åkerblom;Sanna Kaasalainen.
Remote Sensing (2013)
Terrestrial laser scanning in forest inventories
Xinlian Liang;Xinlian Liang;Ville Kankare;Ville Kankare;Juha Hyyppä;Juha Hyyppä;Yunsheng Wang;Yunsheng Wang.
Isprs Journal of Photogrammetry and Remote Sensing (2016)
Automatic detection of harvested trees and determination of forest growth using airborne laser scanning
Xiaowei Yu;Juha Hyyppä;Harri Kaartinen;Matti Maltamo.
Remote Sensing of Environment (2004)
A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
Anttoni Jaakkola;Juha Hyyppä;Antero Kukko;Xiaowei Yu.
Isprs Journal of Photogrammetry and Remote Sensing (2010)
Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning
Xinlian Liang;P. Litkey;J. Hyyppa;H. Kaartinen.
IEEE Transactions on Geoscience and Remote Sensing (2012)
Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data
Matti Lehtomäki;Anttoni Jaakkola;Juha Hyyppä;Antero Kukko.
Remote Sensing (2010)
Multiplatform Mobile Laser Scanning: Usability and Performance
Antero Kukko;Harri Kaartinen;Juha Hyyppä;Yuwei Chen.
Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography
Claude Flener;Matti Vaaja;Anttoni Jaakkola;Anssi Krooks.
Remote Sensing (2013)
Advances in Forest Inventory Using Airborne Laser Scanning
Juha Hyyppä;Xiaowei Yu;Hannu Hyyppä;Mikko Vastaranta.
Remote Sensing (2012)
Profile was last updated on December 6th, 2021.
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