Sökning: "global satellite data"

Visar resultat 16 - 20 av 177 uppsatser innehållade orden global satellite data.

  1. 16. Robust Graph SLAM in Challenging GNSS Environments Using Lidar Odometry

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Jesper Sundström; Alfred Åström; [2023]
    Nyckelord :graphslam; graph slam; graph; slam; automatic; control; robust; DCS; RRR; lidar odometry; gnss;

    Sammanfattning : Localization is a fundamental part of achieving fully autonomous vehicles. A localization system needs to constantly provide accurate information about the position of the vehicle and failure could lead to catastrophic consequences. LÄS MER

  3. 17. Predicting Health and Living Standards of India using Deep Learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Sarath Mookola Raveendran; [2022-10-14]
    Nyckelord :IWI index; Deep CNN; poverty; ResNet-18; Deep Learning; multispectral images; nightlight images; India; health and living standards;

    Sammanfattning : Poverty eradication is an inexorable process in human growth [21], with poverty estimation being the first and most important stage. Identifying strategies for poverty reduction programs and distributing resources appropriately requires determining the poverty levels of distinct places throughout the world. LÄS MER

  4. 18. Mesoscale precipitation systems in the Tibetan Plateau region as represented by global reanalysis, regional downscaling and satellite data between 2001 - 2016

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Benjamin Holmberg; [2022-09-01]
    Nyckelord :Tibetan Plateau; monsoon; westerlies; mesoscale; convection; precipitation; climate modelling; global reanalysis; regional downscaling; spatial resolution; re-initialization; spectral nudging; convective parameterization;

    Sammanfattning : The Tibetan Plateau (TP) is one of the world’s most important water towers. Convective precipitation systems play an important role by providing freshwater for the highly densely populated downstream regions, but they can also cause hazardous floods. LÄS MER

  5. 19. GPS-Free UAV Geo-Localization Using a Reference 3D Database

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Justus Karlsson; [2022]
    Nyckelord :Deep Learning; Machine Learning; ML; AI; UAV; GPS-Free; CNN; 3D CNN; GCNN; 3D Database; geolocalization; geo-localization; georegistration; Hidden Markov Model; HMM; satellite; satellite database; Batch-Hard; triplet loss; PyTorch Geometric;

    Sammanfattning : The goal of this thesis has been global geolocalization using only visual input and a 3D database for reference. In recent years Convolutional Neural Networks (CNNs) have seen huge success in the task of classifying images. The flattened tensors at the final layers of a CNN can be viewed as vectors describing different input image features. LÄS MER

  7. 20. Precipitation Nowcasting using Deep Neural Networks

    Master-uppsats, KTH/Fysik

    Författare :Valter Fallenius; [2022]
    Nyckelord :Deep Neura Networks; Artificial Intelligence; Meteorology; Precipitationa Nowcasting; Djupa neurala nätverk; artificiell intelligens; nederbördsprognoser; meteorologi;

    Sammanfattning : Deep neural networks (DNNs) based on satellite and radar data have shown promising results for precipitation nowcasting, beating physical models and optical flow for time horizons up to 8 hours. “MetNet”, developed by Google AI, is a 225 million parameter DNN combining three different types of architectures that was trained on satellite and radar data over the United States. LÄS MER