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Visar resultat 1 - 5 av 7 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Methods for Co-Orbital Threat Assessment in Space

    Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Författare :Mathias Dahlman; [2023]
    Nyckelord :threats in space; threat assessment; Lambert s problem; genetic algorithms; NSGA-II; space surveillance and tracking capabilities; hot i rymden; hotbedömning; Lamberts problem; genetiska algoritmer; NSGA-II; inmätning och övervakning av rymdobjekt;

    Sammanfattning : This study investigates methods for assessing threats in space. Space services are crucial to both civilian and military capabilities, and a loss of such systems could have severe consequences. Space systems are exposed to various types of threats. LÄS MER

  3. 2. Locating power lines in satellite images with semantic segmentation

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Erik Lundman; [2022]
    Nyckelord :AI; Machine learning; Semantic segmentation; Power lines; Satellite images;

    Sammanfattning : The inspection of power lines is an important process to maintain a stable electrical infrastructure. Simultaneously it is very time consuming task considering there are 164 000 km of power lines in Sweden alone. A cheaper and more sustainable approach is an automatic inspection with drones. LÄS MER

  4. 3. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nakita Sunil Oza; [2022]
    Nyckelord :Remote sensing; Multispectral imaging; Cloud detection; Data diversity; Deep learning; Fjärranalys; Multispektral bildbehandling; Molndetektion; Datadiversitet; Djupinlärning;

    Sammanfattning : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. LÄS MER

  5. 4. Investigation of Methods for Satellite Inspection : of Power Lines and Forest Volume

    Kandidat-uppsats, KTH/Geoinformatik

    Författare :Linnea Bergmark; William Wallstedt; [2020]
    Nyckelord :remote sensing; satellite inspection; infrastructure inspection; power lines; forest volume;

    Sammanfattning : Att underhålla infrastruktur med hög standard är viktigt för alla länder, och att misslyckas med detta innebär allvarliga logistiska och ekonomiska konsekvenser. Kraftledningsinspektion är en betydelsefull del i detta. LÄS MER

  7. 5. Diamonds in the Rough : Remote predictive mapping using multispectral satellite imagery for kimberlite exploration on northeast Banks Island, NT

    Master-uppsats, Stockholms universitet/Institutionen för naturgeografi

    Författare :Anne Farineau; [2015]
    Nyckelord :;

    Sammanfattning : This study demonstrates the use and limitations of Remote Predictive Mapping (RPM) as an aid to kimberlite exploration on northeast Banks Island, Northwest Territories, Canada. It focuses on the effectiveness of ASTER and Landsat 8 optical multi-spectral satellite imagery for discerning the spectral properties of different bedrock and surficial materials that outcrop or blanket the regional terrain. LÄS MER