Lehtimaki, T.M.[Taina M.]
* 2007: Stereoscopic Viewing of Digital Holograms of Real-World Objects
Lehtinen, A.
* 1999: Two-Stage Multispectral Image Compression Using the Self-Organizing Map
Lehtinen, J.
* 1999: Distortion Limited Wavelet Image Codec
* 1999: Predictive depth coding of wavelet transformed images
* 1999: Variable quality image compression system based on SPIHT
* 2001: Clustering context properties of wavelet coefficients in automatic modelling and image coding
* 2002: Clustering by a parallel self-adaptive genetic algorithm
* 2019: Few-Shot Unsupervised Image-to-Image Translation
* 2020: Analyzing and Improving the Image Quality of StyleGAN
Includes: Lehtinen, J. Lehtinen, J.[Joonas]
7 for Lehtinen, J.
Lehtinen, M.
* 2015: KAIRA: The Kilpisjärvi Atmospheric Imaging Receiver Array: System Overview and First Results
Lehtinen, M.S.
* 2018: Gaussian Markov Random Field Priors in Ionospheric 3-D Multi-Instrument Tomography
Lehtinen, R.[Raisa]
* 2020: Toronto Water Vapor Lidar Inter-Comparison Campaign
* 2021: Evaluation of Arctic Water Vapor Profile Observations from a Differential Absorption Lidar
Lehtinen, V.[Ville]
* 2012: Integrating spatial sensing to an interactive mobile 3D map
Lehto, L.
* 2014: WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets
* 2016: Providing Geographic Datasets as Linked Data in SDI
Lehtola, V.[Ville]
* 2017: Evaluation of Visual Tracking Algorithms for Embedded Devices
* 2019: Design, Calibration, and Evaluation of a Backpack Indoor Mobile Mapping System
* 2019: Inpainting Occlusion Holes in 3d Built Environment Point Clouds
* 2019: Integrating a Low-cost Mems Imu Into a Laser-based Slam for Indoor Mobile Mapping
* 2021: Simple loop closing for continuous 6DOF LIDAR&IMU graph SLAM with planar features for indoor environments
* 2023: Editorial of theme issue 3D Modeling of Indoor Environments
Includes: Lehtola, V.[Ville] Lehtola, V.
Lehtola, V.V.[Ville V.]
* 2015: Localization of mobile laser scanner using classical mechanics
* 2016: Localization of a mobile laser scanner via dimensional reduction
* 2017: Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods
* 2017: Graph SLAM correction for single scanner MLS forest data under boreal forest canopy
* 2019: Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations
* 2019: Single Photon Lidar in Mobile Laser Scanning: The Sampling Rate Problem And Initial Solutions Via Spatial Correlations
* 2022: Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review
Includes: Lehtola, V.V.[Ville V.] Lehtola, V.V.
7 for Lehtola, V.V.
Lehtomaki, M.[Matti]
* 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: Performance Analysis of a Pole and Tree Trunk Detection Method for Mobile Laser Scanning Data
* 2013: Improved Sampling for Terrestrial and Mobile Laser Scanner Point Cloud Data
* 2015: Automated 3D Scene Reconstruction from Open Geospatial Data Sources: Airborne Laser Scanning and a 2D Topographic Database
* 2016: Object Classification and Recognition From Mobile Laser Scanning Point Clouds in a Road Environment
* 2016: Remote sensing methods for power line corridor surveys
* 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: 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: Preregistration Classification of Mobile LIDAR Data Using Spatial Correlations
* 2019: Semantic segmentation of road furniture in mobile laser scanning data
* 2021: Voxel-Based Automatic Tree Detection and Parameter Retrieval from Terrestrial Laser Scans for Plot-Wise Forest Inventory
* 2022: Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data
* 2023: Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys: A Case Study Surveying Roadside City Trees
Includes: Lehtomaki, M.[Matti] Lehtomäki, M.[Matti] (Maybe also Lehtomaeki, M.)Lehtomäki, M. (Maybe also Lehtomaeki, M.)Lehtomaki, M.
15 for Lehtomaki, M.
Lehtonen, J.[Juha]
* 2006: Optimal sampling of color spectra
Lehtoranta, O.[Olli]
* 2003: Comparison of video protection methods for wireless networks