Harri Kaartinen

Research Professor

Finnish Geospatial Research Institute

Finland

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Articles (10)

Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data

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Year:

2023

Branch information extraction from Norway spruce using handheld laser scanning point clouds in Nordic forests

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Year:

2023

REAL-TIME LIDAR-INERTIAL POSITIONING AND MAPPING FOR FORESTRY AUTOMATION

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Year:

2023

Unlocking Digitalization in Forest Operations with Viewshed Analysis to Improve GNSS Positioning Accuracy

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Year:

2023

Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys?—A Case Study Surveying Roadside City Trees

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Year:

2023

Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data

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Year:

2022

Close-Range Remote Sensing of Forests

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Year:

2022

UTILISING SIMULATED TREE DATA TO TRAIN SUPERVISED CLASSIFIERS

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Year:

2022

Pavement distress detection using terrestrial laser scanning point clouds – Accuracy evaluation and algorithm comparison

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Year:

2022

Semantic segmentation of point cloud data using raw laser scanner measurements and deep neural networks

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Year:

2022

Collaborators (6)

Eric Hyyppä

Aalto University

FINLAND

Antero Kukko

Research Professor

Finnish Geospatial Research Institute

FINLAND

Samuli Junttila

Associate Professor

University of Helsinki

FINLAND

Xiaowei Yu

Finnish Geospatial Research Institute

FINLAND

Ninni Saarinen

University of Helsinki

FINLAND

Ville Luoma

University of Helsinki

FINLAND

Harri Kaartinen

Research Interests

Explore related searches

Contact this professor

Articles (10)

Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data

Branch information extraction from Norway spruce using handheld laser scanning point clouds in Nordic forests

REAL-TIME LIDAR-INERTIAL POSITIONING AND MAPPING FOR FORESTRY AUTOMATION

Unlocking Digitalization in Forest Operations with Viewshed Analysis to Improve GNSS Positioning Accuracy

Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys?—A Case Study Surveying Roadside City Trees

Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data

Close-Range Remote Sensing of Forests

UTILISING SIMULATED TREE DATA TO TRAIN SUPERVISED CLASSIFIERS

Pavement distress detection using terrestrial laser scanning point clouds – Accuracy evaluation and algorithm comparison

Semantic segmentation of point cloud data using raw laser scanner measurements and deep neural networks

Collaborators (6)

Eric Hyyppä

Antero Kukko

Samuli Junttila

Xiaowei Yu

Ninni Saarinen

Ville Luoma

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