Sökning: "point cloud regression"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden point cloud regression.

  1. 1. An evaluation study of 3D imaging technology as a tool to estimate body weight and growth in dairy heifers

    Master-uppsats, SLU/Dept. of Animal Nutrition and Management

    Författare :Emelie Ahlberg; [2024]
    Nyckelord :body measurement; body weight; growth; heifer; three-dimensional imaging; young stock management;

    Sammanfattning : The aim of this thesis was to evaluate the use of a 3D camera as a tool to estimate body weight and growth in dairy heifers. Data collection lasted from October 2022 to January 2023 and was performed at the Swedish Livestock Research Centre in Uppsala, Sweden. LÄS MER

  3. 2. Investigation of above-ground biomass with terrestrial laser scanning : A case study of Valls Hage in Gävle

    Magister-uppsats, Högskolan i Gävle/Samhällsbyggnad

    Författare :Mathias Billenberg; [2023]
    Nyckelord :TLS; tree species; QSM; AGB; volume; wood density; biomass; allometric; point cloud;

    Sammanfattning : The thesis investigates above-ground biomass (AGB) with terrestrial laser scanning (TLS) for estimating AGB in a study area in Valls Hage, Gävle. The study used TLS for field measurements to collect highly detailed point clouds of two tree species for AGB estimation and comparison against validation data. LÄS MER

  4. 3. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Seamus Doyle; Gustav Nilsson; [2022]
    Nyckelord :LiDAR; Semantic Segmentation; Neural Networks; RandLA-NET; 3D Point Cloud; Gaussian Process Regression; Robust Locally Weighted Regression; CARLA; Ground Model; Technology and Engineering;

    Sammanfattning : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. LÄS MER

  5. 4. Estimating Forest Variables from LiDAR Pointcloud Data Using a Deep Learning Approach

    Master-uppsats, Linköpings universitet/Kommunikationssystem

    Författare :Ella Grundin; Rasmus Kozak Åslöv; [2022]
    Nyckelord :Deep Learning; Forest Management; Machine Learning; Measuring Forests; Neural Networks; Data Analysis; Digital Edge; Djupinlärning; Skogsbruk; Maskininlärning; Skogsmätning; Neurala nätverk; Dataanalys; Digital Edge;

    Sammanfattning : Knowledge about forest measurements is essential for efficient and sustainableforestry. One important measurement is wood volume, both from an economicand an environmental perspective. Therefore it is crucial to measure wood vol-ume accurately and reliably. LÄS MER

  7. 5. ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Gabriela Olekszyk; [2022]
    Nyckelord :Geography; GIS; Lidar; ALS; Point cloud; Accuracy; Quality; Technology and Engineering;

    Sammanfattning : Gabriela Olekszyk ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand. Lidar (Light Detection and Ranging) data is becoming more widely available and accessible. LÄS MER