What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Optics
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.
His most cited work include:
- Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data (327 citations)
- An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (302 citations)
- Terrestrial laser scanning in forest inventories (276 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Remote sensing (67.58%)
- Laser scanning (53.88%)
- Point cloud (37.90%)
What were the highlights of his more recent work (between 2019-2021)?
- Remote sensing (67.58%)
- Laser scanning (53.88%)
- Point cloud (37.90%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- Accurate derivation of stem curve and volume using backpack mobile laser scanning (15 citations)
- Accurate derivation of stem curve and volume using backpack mobile laser scanning (15 citations)
- Under-canopy UAV laser scanning for accurate forest field measurements (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Optics
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.
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