Sökning: "object-based classification"

Visar resultat 6 - 10 av 27 uppsatser innehållade orden object-based classification.

  1. 6. Clutter Detection in Radar Applications

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Pedram Kasebzadeh; [2020]
    Nyckelord :;

    Sammanfattning : Radars have been used for detection purposes in safety applications (i.e., blind spot detection radar in cars) extensively. The existing detection methods, however, are not flawless. LÄS MER

  3. 7. Implementering av maskinginlärningsmodeller för detektering av ett objekt baserad på endimensionell elektromagnetisk strålningsdata

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

    Författare :Simon Heinke; Marcus Åberg; [2020]
    Nyckelord :Clinical trials; Clinical adherence; Digital pill box; Support Vector Machine; Random Forest; Proximity Sensor; Electromagnetic radiation; Clinical trials innovation;

    Sammanfattning : Clinical trials are experiments or observations on a patient’s responses of different medical treatments to cure diseases. Such trials are heavily regulated and must achieve a certain quality standard of the trial and clinical adherence is a determining factor on the success of a study. LÄS MER

  4. 8. Investigating Sand Dune Location, Orientation and Geomorphometry Through GEOBIA-Based Mapping: A Case Study in Northern Sweden

    Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

    Författare :Melanie Stammler; [2020]
    Nyckelord :sand dunes; geomorphological mapping; object-based image analysis; landscape development; sanddyner; geomorfologisk kartläggning; geografisk objektbaserad bildanalys; landskapsutveckling;

    Sammanfattning : Climate change has repeatedly been framed as the defining issue of the Anthropocene and with the Arctic changing at unpreceded speed need is high for a profound understanding of the Northern Swedish landscape. Northern Swedish aeolian sand dunes have been impacted by climatic changes throughout time. LÄS MER

  5. 9. CLASSIFYING DOMINANT PARKLAND SPECIES IN A WEST AFRICAN AGROFORESTRY LANDSCAPE USING PLEIADES SATELLITE IMAGERY

    Master-uppsats, Linköpings universitet/Institutionen för tema

    Författare :Simon Lunn; [2020]
    Nyckelord :Remote Sensing; Burkina Faso; Pleiades Satellite; Tree species; Agroforestry;

    Sammanfattning : As we move towards a digital based society, technology continues to improve. It is important to take advantage of this to inform and facilitate our sustainable development goals in the most cost-effective and time efficient manner. LÄS MER

  7. 10. Feature Extraction and FeatureSelection for Object-based LandCover Classification : Optimisation of Support Vector Machines in aCloud Computing Environment

    Master-uppsats, KTH/Geoinformatik

    Författare :Oliver Stromann; [2018]
    Nyckelord :Feature Extraction; Feature Selection; Dimensionality Reduction; Supervised Object-Based Land Cover Classification; Google Earth Engine;

    Sammanfattning : Mapping the Earth’s surface and its rapid changes with remotely sensed data is a crucial tool to un-derstand the impact of an increasingly urban world population on the environment. However, the impressive amount of freely available Copernicus data is only marginally exploited in common clas-sifications. LÄS MER