Kukka, H.[Hannu]
* 2010: Social Surroundings: Bridging the Virtual and Physical Divide
Kukko, A.[Antero]
* 2006: Change Detection Techniques for Canopy Height Growth Measurements Using Airborne Laser Scanner Data
* 2007: Laser Scanner Simulator for System Analysis and Algorithm Development: a Case with Forest Measurements
* 2007: Radiometric Calibration of ALS Intensity
* 2007: Road Environment Mapping System of the Finnish Geodetic Institute: FGI Roamer
* 2008: Brightness Measurements and Calibration With Airborne and Terrestrial Laser Scanners
* 2008: Comparison of Three Accurate 3D Measurement Methods for Evaluating As-Built Floor Flatness
* 2008: On the Calibration of the Distance Measuring Component of a Terrestrial Laser Scanner
* 2008: Radiometric Calibration and Characterization of Largeformat Digital Photogrammetric Sensors in a Test Field
* 2008: Terrestrial Laser Scanning of Agricultural Crops
* 2009: Radiometric Calibration of Terrestrial Laser Scanners with External Reference Targets
* 2009: Topographic and Distance Effects in Laser Scanner Intensity Correction
* 2010: Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data
* 2010: low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements, A
* 2011: Fusion of Mobile Laser Scanning and Panoramic Images for Studying River Environment Topography And Changes
* 2011: Mapping Topography Changes and Elevation Accuracies Using a Mobile Laser Scanner
* 2011: Performance Analysis of a Pole and Tree Trunk Detection Method for Mobile Laser Scanning Data
* 2011: Photorealistic Building Reconstruction from Mobile Laser Scanning Data
* 2011: Radiometric Calibration of TLS Intensity: Application To Snow Cover Change Detection
* 2012: Advances in Forest Inventory Using Airborne Laser Scanning
* 2012: Benchmarking Mobile Laser Scanning Systems Using A Permanent Test Field
* 2012: International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning, An
* 2012: Multiplatform Approach To Mobile Laser Scanning
* 2013: 3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data
* 2013: Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning
* 2013: Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data
* 2013: Performance Analysis of Mobile Laser Scanning Systems in Target Representation
* 2013: Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography
* 2014: Test field for airborne laser scanning in Finland
* 2015: Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes
* 2015: Forest Data Collection Using Terrestrial Image-Based Point Clouds From a Handheld Camera Compared to Terrestrial and Personal Laser Scanning
* 2015: Localization of mobile laser scanner using classical mechanics
* 2016: Algorithm for Automatic Road Asphalt Edge Delineation from Mobile Laser Scanner Data Using the Line Clouds Concept, An
* 2016: Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment
* 2016: Remote sensing methods for power line corridor surveys
* 2016: Terrestrial laser scanning in forest inventories
* 2016: Towards Automatic Single-sensor Mapping By Multispectral Airborne Laser Scanning
* 2017: Autonomous Collection of Forest Field Reference: The Outlook and a First Step with UAV Laser Scanning
* 2017: Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods
* 2017: Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees
* 2017: Graph SLAM correction for single scanner MLS forest data under boreal forest canopy
* 2017: Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping, An
* 2017: Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners
* 2017: Nationwide Point Cloud: The Future Topographic Core Data
* 2017: Novel GNSS Technique for Predicting Boreal Forest Attributes at Low Cost, A
* 2017: UAV-Borne Profiling Radar for Forest Research
* 2018: In-situ measurements from mobile platforms: An emerging approach to address the old challenges associated with forest inventories
* 2019: Accurate Calibration Scheme for a Multi-Camera Mobile Mapping System
* 2019: Is field-measured tree height as reliable as believed: A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest
* 2019: Multisource Point Clouds, Point Simplification and Surface Reconstruction
* 2019: Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations
* 2019: Semantic segmentation of road furniture in mobile laser scanning data
* 2020: Accurate derivation of stem curve and volume using backpack mobile laser scanning
* 2020: Comparing features of single and multi-photon lidar in boreal forests
* 2020: Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests
* 2020: Evaluating the Quality of TLS Point Cloud Colorization
* 2020: Under-canopy UAV laser scanning for accurate forest field measurements
* 2022: Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data
* 2022: UAV in the advent of the twenties: Where we stand and what is next
* 2023: Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys: A Case Study Surveying Roadside City Trees
* 2023: Evaluating Factors Impacting Fallen Tree Detection from Airborne Laser Scanning Point Clouds
Includes: Kukko, A.[Antero] Kukko, A.
60 for Kukko, A.
Kukkonen, M.
* 2017: Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover
* 2018: Towards Operational Monitoring of Forest Canopy Disturbance in Evergreen Rain Forests: A Test Case in Continental Southeast Asia
* 2019: Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition
* 2020: Mapping Natural Forest Remnants with Multi-Source and Multi-Temporal Remote Sensing Data for More Informed Management of Global Biodiversity Hotspots
* 2020: Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas
Includes: Kukkonen, M. Kukkonen, M.[Markus] Kukkonen, M.[Mikko]