His main research concerns Remote sensing, Laser scanning, Point cloud, Forest inventory and Digital elevation model. His Remote sensing study combines topics from a wide range of disciplines, such as Radar, Biomass and Mean squared error. His studies deal with areas such as Change detection, Feature extraction, Terrain and Mobile mapping as well as Laser scanning.
His Point cloud research includes elements of Image resolution and Histogram. In his study, Laser data, Interferometric synthetic aperture radar and Synthetic aperture radar is strongly linked to Basal area, which falls under the umbrella field of Forest inventory. His work deals with themes such as Vegetation, Artificial intelligence and Computer vision, which intersect with Lidar.
Hannu Hyyppä spends much of his time researching Remote sensing, Laser scanning, Point cloud, Forest inventory and Artificial intelligence. Hannu Hyyppä usually deals with Remote sensing and limits it to topics linked to Terrain and Elevation. His research in Laser scanning tackles topics such as Mobile mapping which are related to areas like Inertial measurement unit.
Hannu Hyyppä interconnects Terrestrial laser scanning and Luminance in the investigation of issues within Point cloud. His Terrestrial laser scanning study deals with Intensity intersecting with Wavelength. Hannu Hyyppä has researched Forest inventory in several fields, including Basal area, Imaging spectrometer, Synthetic aperture radar, GNSS applications and Radar.
His scientific interests lie mostly in Point cloud, Remote sensing, Laser scanning, Luminance and Photogrammetry. His research in Point cloud intersects with topics in Architecture, Core and Database. His study in Remote sensing focuses on Multispectral image in particular.
He does research in Laser scanning, focusing on Terrestrial laser scanning specifically. His work in Luminance covers topics such as Road surface which are related to areas like Mobile laser scanning and Drone. His Photogrammetry research includes elements of Image quality, 3D reconstruction, Content creation, 3D modeling and Use case.
Hannu Hyyppä mainly investigates Point cloud, Lidar, Computer vision, Artificial intelligence and Terrestrial laser scanning. Hannu Hyyppä combines subjects such as Forest inventory and Laser scanning with his study of Point cloud. His work in Forest inventory addresses issues such as Reference data, which are connected to fields such as Forestry.
In his research, Remote sensing is intimately related to Tree canopy, which falls under the overarching field of Laser scanning. His Lidar study incorporates themes from Tree health, Infestation, Picea abies, Climate change and Water content. His work on Mobile mapping as part of general Computer vision research is frequently linked to Simultaneous localization and mapping, bridging the gap between disciplines.
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Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests
J. Hyyppä;H. Hyyppä;D. Leckie;F. Gougeon.
International Journal of Remote Sensing (2008)
Laser scanning of forest resources: the nordic experience
Erik Næsset;Terje Gobakken;Johan Holmgren;Hannu Hyyppä.
Scandinavian Journal of Forest Research (2004)
Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes
Juha Hyyppä;Hannu Hyyppä;Mikko Inkinen;Marcus Engdahl.
decision support systems (2000)
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning
Harri Kaartinen;Juha Hyyppä;Xiaowei Yu;Mikko Vastaranta.
Remote Sensing (2012)
Algorithms and methods of airborne laser-scanning for forest measurements
Juha Hyyppä;Hannu Hyyppä;Paula Litkey;Xiaowei Yu.
Individual tree biomass estimation using terrestrial laser scanning
Ville Kankare;Markus Holopainen;Mikko Vastaranta;Eetu Puttonen.
Isprs Journal of Photogrammetry and Remote Sensing (2013)
Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping
Anttoni Jaakkola;Juha Hyyppä;Hannu Hyyppä;Antero Kukko.
Airborne laser scanning and digital stereo imagery measures of forest structure: comparative results and implications to forest mapping and inventory update
Mikko Vastaranta;Michael A. Wulder;Joanne C. White;Anssi Pekkarinen.
Canadian Journal of Remote Sensing (2013)
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)
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