Index for hyyp

Hyyppa, A. * 2015: Precise Indoor Localization for Mobile Laser Scanner
Includes: Hyyppa, A. Hyyppä, A. (Maybe also Hyyppae, A.)

Hyyppa, E.[Eric] * 2020: Accurate derivation of stem curve and volume using backpack mobile laser scanning
* 2020: Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests
* 2020: Under-canopy UAV laser scanning for accurate forest field measurements
* 2023: Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys: A Case Study Surveying Roadside City Trees
Includes: Hyyppa, E.[Eric] Hyyppä, E.[Eric] (Maybe also Hyyppae, E.)

Hyyppa, H.[Hannu] * 2002: Reconstructing Tree Crowns from Laser Scanner Data for Feature Extraction
* 2005: Accuracy of 3D city models: EuroSDR comparison
* 2005: Applicability of first pulse derived digital terrain models for boreal forest zone
* 2005: Factors affecting the quality of DTM generation in forested areas
* 2005: Measuring the growth of individual trees using multi-temporal airborne laser scanning point clouds
* 2005: Optimization of the scanning angle for countrywide laser scanning
* 2005: Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds
* 2006: Experiments on deformation measurements of Helsinki Design Week 2005 Info Pavilion
* 2007: Integration of Laser Scanning and Photogrammetry
* 2007: Radiometric Calibration of ALS Intensity
* 2007: Road Environment Mapping System of the Finnish Geodetic Institute: FGI Roamer
* 2008: Comparison of Three Accurate 3D Measurement Methods for Evaluating As-Built Floor Flatness
* 2008: Registration of Airborne Laser Scanning Point Clouds with Aerial Images through Terrestrial Image Blocks
* 2008: Terrestrial Laser Scanning of Agricultural Crops
* 2009: Combination of Low Pulse ALS Data and TERRASAR-X Radar images in the Estimation of Plot-Level Forest Variables
* 2009: Comparison of ALS-Based Low-Pulse Density Forest Inventories
* 2010: Comparing Accuracy of Airborne Laser Scanning and TerraSAR-X Radar Images in the Estimation of Plot-Level Forest Variables
* 2011: Biomass Estimation of Individual Trees Using Stem and Crown Diameter TLS Measurements
* 2011: Effects of Individual Tree Detection Error Sources on Forest Management Planning Calculations
* 2011: Fusion of Individual Tree Detection and Visual Interpretation in Assessment of Forest Variables from Laser Point Clouds, The
* 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
* 2012: Advances in Forest Inventory Using Airborne Laser Scanning
* 2012: Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data
* 2012: International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning, An
* 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: Area-Based Mapping of Defoliation of Scots Pine Stands Using Airborne Scanning LiDAR
* 2013: Individual Tree Biomass Estimation Using Terrestrial Laser Scanning
* 2013: Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR
* 2013: Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography
* 2013: Single tree biomass modelling using airborne laser scanning
* 2014: Accuracy in Estimation of Timber Assortments and Stem Distribution: A Comparison of Airborne and Terrestrial Laser Scanning Techniques
* 2014: Multisource Single-Tree Inventory in the Prediction of Tree Quality Variables and Logging Recoveries
* 2014: Rapid Prototyping: A Tool for Presenting 3-Dimensional Digital Models Produced by Terrestrial Laser Scanning
* 2015: Automated 3D Scene Reconstruction from Open Geospatial Data Sources: Airborne Laser Scanning and a 2D Topographic Database
* 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: Intelligent Open Data 3D Maps in a Collaborative Virtual World
* 2015: Localization of mobile laser scanner using classical mechanics
* 2015: Luminance-Corrected 3D Point Clouds for Road and Street Environments
* 2016: Localization of a mobile laser scanner via dimensional reduction
* 2016: Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment
* 2017: Autonomous Collection of Forest Field Reference: The Outlook and a First Step with UAV Laser Scanning
* 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
* 2018: Characterizing 3D City Modeling Projects: Towards a Harmonized Interoperable System
* 2019: Automated Multi-Sensor 3D Reconstruction for the Web
* 2019: Multisource Point Clouds, Point Simplification and Surface Reconstruction
* 2020: Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling, A
* 2020: Designing and Building A Cost-efficient Survey Drone
* 2020: Evaluating the Quality of TLS Point Cloud Colorization
* 2020: Interactive dense point clouds in a game engine
* 2020: Interactive Geo-information In Virtual Reality: Observations and Future Challenges
* 2020: Nighttime Mobile Laser Scanning and 3D Luminance Measurement: Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment
* 2020: Simple Semantic-Based Data Storage Layout for Querying Point Clouds, A
* 2021: 3D Point Cloud Data in Conveying Information for Local Green Factor Assessment
* 2021: Near Real-Time Semantic View Analysis of 3D City Models in Web Browser
* 2022: Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season
* 2023: Open Geospatial Data Integration in Game Engine for Urban Digital Twin Applications
Includes: Hyyppa, H.[Hannu] Hyyppä, H. (Maybe also Hyyppae, H.)Hyyppä, H.[Hannu] (Maybe also Hyyppae, H.)Hyyppa, H.
60 for Hyyppa, H.

Hyyppa, J. * 2001: segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners, A
* 2002: Assessment of Forest Parameters by Means of Laser Scanning
* 2002: Extracting Built-Up Areas from Multitemporal Interferometric SAR Images
* 2002: Investigations on System Calibration of GPS/IMU and Camera for Direct Georeferencing
* 2005: Accuracy of 3D city models: EuroSDR comparison
* 2005: Applicability of first pulse derived digital terrain models for boreal forest zone
* 2005: Factors affecting the quality of DTM generation in forested areas
* 2005: Laboratory calibration of backscattered intensity for laser scanning land targets
* 2005: Measuring the growth of individual trees using multi-temporal airborne laser scanning point clouds
* 2005: Optimization of the scanning angle for countrywide laser scanning
* 2005: Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds
* 2006: Change Detection Techniques for Canopy Height Growth Measurements Using Airborne Laser Scanner Data
* 2006: Experiments on deformation measurements of Helsinki Design Week 2005 Info Pavilion
* 2006: Geometric test field calibration of digital photogrammetric sensors
* 2006: Mapping Built-up Areas from Multitemporal Interferometric SAR Images: A Segment-based Approach
* 2007: Classification Tree Based Building Detection From Laser Scanner and Aerial Image Data
* 2007: Deciduous-Coniferous Tree Classification Using Difference between First and Last Pulse Laser Signatures
* 2007: Experiences and Possibilities of ALS Based Forest Inventory in Finland
* 2007: Integration of Laser Scanning and Photogrammetry
* 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: Agricultural Monitoring Using Envisat Alternating Polarization SAR Images
* 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: Intensity Calibration and Imaging with SwissRanger SR-3000 Range Camera
* 2008: On The Quality Checking of the Airborne Laser Scanning Based Nation Wide Elevation Model in Finland
* 2008: Permanent Test Field for Digital Photogrammetric Systems, A
* 2008: Radiometric Calibration and Characterization of Largeformat Digital Photogrammetric Sensors in a Test Field
* 2008: Radiometric Calibration of Full-Waveform Small-Footprint Airborne Laser Scanners
* 2008: Registration of Airborne Laser Scanning Point Clouds with Aerial Images through Terrestrial Image Blocks
* 2008: Terrestrial Laser Scanning of Agricultural Crops
* 2009: Combination of Low Pulse ALS Data and TERRASAR-X Radar images in the Estimation of Plot-Level Forest Variables
* 2009: Comparison Between First Pulse and Last Pulse Laser Scanner Data in the Automatic Detection of Buildings
* 2009: Comparison of ALS-Based Low-Pulse Density Forest Inventories
* 2009: improved approach for automatic detection of changes in buildings, An
* 2009: Test of Automatic Building Change Detection Approaches, A
* 2009: Usability of Sunlit-Shaded Area Separation in Individual Tree Species Classification
* 2010: Automatic Detection of Buildings and Changes in Buildings for Updating of Maps
* 2010: Cereal Yield Modeling in Finland Using Optical and Radar Remote Sensing
* 2010: Classification of Defoliated Trees Using Tree-Level Airborne Laser Scanning Data Combined with Aerial Images
* 2010: Comparing Accuracy of Airborne Laser Scanning and TerraSAR-X Radar Images in the Estimation of Plot-Level Forest Variables
* 2010: Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes
* 2010: Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data
* 2010: Evaluation Of Time-of-flight Range Cameras For Close Range Metrology Applications, An
* 2010: From TLS to VLS: Biomass Estimation at Individual Tree Level
* 2010: Individual Tree Species Classification by Illuminated: Shaded Area Separation
* 2010: Integrating Vegetation Indices Models and Phenological Classification with Composite SAR and Optical Data for Cereal Yield Estimation in Finland (Part I)
* 2010: low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements, A
* 2010: Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies
* 2010: Using Stationary And Mobile Laser Scanner To Detect Forest Defoliation
* 2011: Biomass Estimation of Individual Trees Using Stem and Crown Diameter TLS Measurements
* 2011: Effects of Individual Tree Detection Error Sources on Forest Management Planning Calculations
* 2011: Fusion of Individual Tree Detection and Visual Interpretation in Assessment of Forest Variables from Laser Point Clouds, The
* 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: Predicting individual tree attributes from airborne laser point clouds based on the random forests technique
* 2011: Transmittance of Airborne Laser Scanning Pulses for Boreal Forest Elevation Modeling
* 2012: Advances in Forest Inventory Using Airborne Laser Scanning
* 2012: Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning
* 2012: Benchmarking Mobile Laser Scanning Systems Using A Permanent Test Field
* 2012: Challenge Of Automated Change Detection: Developing A Method For The Updating Of Land Parcels, The
* 2012: Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data
* 2012: Detecting Changes in Forest Structure over Time with Bi-Temporal Terrestrial Laser Scanning Data
* 2012: International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning, An
* 2012: Laser Scanning in Forests
* 2012: Multiecho-Recording Mobile Laser Scanning for Enhancing Individual Tree Crown Reconstruction
* 2012: Multiplatform Approach To Mobile Laser Scanning
* 2013: Area-Based Mapping of Defoliation of Scots Pine Stands Using Airborne Scanning LiDAR
* 2013: Comparison of Precise Leveling and Persistent Scatterer SAR Interferometry for Building Subsidence Rate Measurement, A
* 2013: Individual Tree Biomass Estimation Using Terrestrial Laser Scanning
* 2013: Performance Analysis of Mobile Laser Scanning Systems in Target Representation
* 2013: Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables
* 2013: Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR
* 2013: Seamless Mapping of River Channels at High Resolution Using Mobile LiDAR and UAV-Photography
* 2013: Single tree biomass modelling using airborne laser scanning
* 2013: Use of Mobile Laser Scanning Data and Unmanned Aerial Vehicle Images for 3D Model Reconstruction, The
* 2014: Accuracy in Estimation of Timber Assortments and Stem Distribution: A Comparison of Airborne and Terrestrial Laser Scanning Techniques
* 2014: Automated Stem Curve Measurement Using Terrestrial Laser Scanning
* 2014: Fully-Automated Power Line Extraction from Airborne Laser Scanning Point Clouds in Forest Areas
* 2014: Multisource Single-Tree Inventory in the Prediction of Tree Quality Variables and Logging Recoveries
* 2014: Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery
* 2014: Rapid Prototyping: A Tool for Presenting 3-Dimensional Digital Models Produced by Terrestrial Laser Scanning
* 2014: TerraSAR-X Stereo Radargrammetry and Airborne Scanning LiDAR Height Metrics in Imputation of Forest Aboveground Biomass and Stem Volume
* 2014: Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots, The
* 2014: Use of Airborne and Mobile Laser Scanning for Modeling Railway Environments in 3D, The
* 2015: Automated 3D Scene Reconstruction from Open Geospatial Data Sources: Airborne Laser Scanning and a 2D Topographic Database
* 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: Diameter distribution estimation with laser scanning based multisource single tree inventory
* 2015: Forest Data Collection Using Terrestrial Image-Based Point Clouds From a Handheld Camera Compared to Terrestrial and Personal Laser Scanning
* 2015: Intelligent Open Data 3D Maps in a Collaborative Virtual World
* 2015: Luminance-Corrected 3D Point Clouds for Road and Street Environments
* 2015: Mapping the Risk of Forest Wind Damage Using Airborne Scanning LiDAR
* 2016: Algorithm for Automatic Road Asphalt Edge Delineation from Mobile Laser Scanner Data Using the Line Clouds Concept, An
* 2016: Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algorithms
* 2016: International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning
* 2016: Multispectral Airborne Laser Scanning For Automated Map Updating
* 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: Analysis of Ku-Band Profiling Radar Observations of Boreal Forest, An
* 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: Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
* 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: Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating
* 2017: Single-Sensor Solution to Tree Species Classification Using Multispectral Airborne Laser Scanning
* 2017: UAV-Borne Profiling Radar for Forest Research
* 2018: Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
* 2018: Characterizing 3D City Modeling Projects: Towards a Harmonized Interoperable System
* 2018: Comparison of Canopy Height Profiles Extracted from Ku-band Profile Radar Waveforms and LiDAR Data, The
* 2018: Extrinsic Calibration of 2D Laser Rangefinders Based on a Mobile Sphere
* 2018: GPS Time Series Analysis from Aboa the Finnish Antarctic Research Station
* 2018: In-situ measurements from mobile platforms: An emerging approach to address the old challenges associated with forest inventories
* 2018: International benchmarking of terrestrial laser scanning approaches for forest inventories
* 2019: Automated Multi-Sensor 3D Reconstruction for the Web
* 2019: Detecting and characterizing downed dead wood using terrestrial laser scanning
* 2019: Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation
* 2019: Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests
* 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: Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data
* 2019: Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations
* 2019: Semantic segmentation of road furniture in mobile laser scanning data
* 2019: Study of a High Spectral Resolution Hyperspectral LiDAR in Vegetation Red Edge Parameters Extraction
* 2019: TanDEM-X digital surface models in boreal forest above-ground biomass change detection
* 2020: Accurate derivation of stem curve and volume using backpack mobile laser scanning
* 2020: Analyzing the Angle Effect of Leaf Reflectance Measured by Indoor Hyperspectral Light Detection and Ranging (LiDAR)
* 2020: Combining single photon and multispectral airborne laser scanning for land cover classification
* 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: Determination of Effective Beamwidth of Ku Band Profiling Radar Based on Waveform Matching Method in the Boreal Forest of Finland, The
* 2020: Evaluating the Quality of TLS Point Cloud Colorization
* 2020: Interactive dense point clouds in a game engine
* 2020: Interactive Geo-information In Virtual Reality: Observations and Future Challenges
* 2020: Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands
* 2020: Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation
* 2020: Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
* 2020: Simulation of Ku-Band Profile Radar Waveform by Extending Radiosity Applicable to Porous Individual Objects (RAPID2) Model
* 2020: Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning
* 2020: Terrestrial Laser Scanning Measurement Station to Monitor Long-term Structural Dynamics In A Boreal Forest, A
* 2020: Under-canopy UAV laser scanning for accurate forest field measurements
* 2020: Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands
* 2021: Hyperspectral LiDAR-Based Plant Spectral Profiles Acquisition: Performance Assessment and Results Analysis
* 2021: Interest point detection from multi-beam light detection and ranging point cloud using unsupervised convolutional neural network
* 2021: Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions
* 2021: Near Real-Time Semantic View Analysis of 3D City Models in Web Browser
* 2021: Penetration Analysis of Airborne Ku-Band Radar Versus Satellite Infrared Lidar Based on the Height and Energy Percentiles in the Boreal Forest, The
* 2021: Review on Active and Passive Remote Sensing Techniques for Road Extraction
* 2021: Using Microwave Profile Radar to Estimate Forest Canopy Leaf Area Index: Linking 3D Radiative Transfer Model and Forest Gap Model
* 2022: Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning
* 2022: Feasibility of Bi-Temporal Airborne Laser Scanning Data in Detecting Species-Specific Individual Tree Crown Growth of Boreal Forests
* 2022: heterogeneous 3D map-based place recognition solution using virtual LiDAR and a polar grid height coding image descriptor, A
* 2022: Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data
* 2022: Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task
* 2022: LiDAR-based single-shot global localization solution using a cross-section shape context descriptor, A
* 2022: Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season
* 2022: Terrestrial Laser Scanning in Assessing the Effect of Different Thinning Treatments on the Competition of Scots Pine (Pinus sylvestris L.) Forests
* 2023: Advantages of Using Transfer Learning Technology with a Quantative Measurement
* 2023: Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys: A Case Study Surveying Roadside City Trees
* 2023: Pedestrian Smartphone Navigation Based on Weighted Graph Factor Optimization Utilizing GPS/BDS Multi-Constellation
* 2023: Probabilistic Method-Based Smartphone GNSS Fault Detection and Exclusion System Utilizing PDR Step Length, A
* 2024: Up-View Visual-Based Indoor Positioning Method via Deep Learning, An
Includes: Hyyppa, J. Hyyppä, J.[Juha] (Maybe also Hyyppae, J.)Hyyppä, J. (Maybe also Hyyppae, J.)Hyyppa, J.[Juha]
171 for Hyyppa, J.

Hyyppo, J. * 2018: Estimating Ground Level and Canopy Top Elevation With Airborne Microwave Profiling Radar

Index for "h"


Last update: 6-May-24 16:26:51
Use price@usc.edu for comments.