Sökning: "tree segmentation"
Visar resultat 1 - 5 av 28 uppsatser innehållade orden tree segmentation.
1. Investigation of above-ground biomass with terrestrial laser scanning : A case study of Valls Hage in Gävle
Magister-uppsats, Högskolan i Gävle/SamhällsbyggnadSammanfattning : 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
2. Computer-Aided Characterization of Lung - Segmentation and Vessel Tree Analysis Algorithms for Clinical Research Applications
Master-uppsats, KTH/FysikSammanfattning : The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. LÄS MER
3. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Remote sensing image classification is used in land cover, forest type and tree species classifications but rarely considered for habitat suitability modelling of animal and plant species. It is instead common that land cover products derived from remote sensing data are used in these modelling problems, even though satellite imagery can provide more detailed information. LÄS MER
4. Forest Growth And Volume Estimation Using Machine Learning
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Estimation of forest parameters using remote sensing information could streamline the forest industry from a time and economic perspective. This thesis utilizes object detection and semantic segmentation to detect and classify individual trees from images over 3D models reconstructed from satellite images. LÄS MER
5. GVT-BDNet : Convolutional Neural Network with Global Voxel Transformer Operators for Building Damage Assessment
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Natural disasters strike anywhere, disrupting local communication and transportation infrastructure, making the process of assessing specific local damage difficult, dangerous, and slow. The goal of Building Damage Assessment (BDA) is to quickly and accurately estimate the location, cause, and severity of the damage to maximize the efficiency of rescuers and saved lives. LÄS MER