Essays about: "Airborne LiDAR data"

Showing result 1 - 5 of 27 essays containing the words Airborne LiDAR data.

  1. 1. Enhancement of a Power Line Information System by Combining BIM and LiDAR Data

    University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Author : Daniel Wollberg; [2024]
    Keywords : GIS; BIM; FME; CloudCompare; GIS; BIM; FME; CloudCompare;

    Abstract : With the great ongoing energy transition in Sweden, Svenska Kraftnät (SVK) sees a huge need for investment in the Swedish transmission network and supporting IT- systems.  SVK has a great amount of collected laser data over the electric power transmission network however this data does not contain any semantic attribution that can be analyzed on broader information systems. READ MORE

  3. 2. Automatic processing of LiDAR point cloud data captured by drones

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Leon Li Persson; [2023]
    Keywords : machine learning; supervised learning; random forest; point cloud segmentation;

    Abstract : As automation is on the rise in the world at large, the ability to automatically differentiate objects in datasets via machine learning is of growing interest. This report details an experimental evaluation of supervised learning on point cloud data using random forest with varying setups. READ MORE

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

    University essay from Linköpings universitet/Kommunikationssystem

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

    Abstract : 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. READ MORE

  5. 4. 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

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

    Abstract : 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. READ MORE

  6. 5. Classification of Terrain Roughness from Nationwide Data Sources Using Deep Learning

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Emily Fredriksson; [2022]
    Keywords : Computer vision; Machine learning; 3D semantic segmentation; Airborne LiDAR data; Terrain classification;

    Abstract : 3D semantic segmentation is an expanding topic within the field of computer vision, which has received more attention in recent years due to the development of more powerful GPUs and the newpossibilities offered by deep learning techniques. Simultaneously, the amount of available spatial LiDAR data over Sweden has also increased. READ MORE