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Showing result 6 - 10 of 99 essays matching the above criteria.

  1. 6. Compression of Large-Scale Aerial Imagery : Exploring Set Redundancy Methods

    University essay from Högskolan i Gävle/Datavetenskap

    Author : Solvej Lüdeking; [2023]
    Keywords : Set redundancy; image compression; aerial imagery;

    Abstract : Compression of data has been historically always important; more data is gettingproduced and therefore has to be stored. While hardware technology advances,compression should be a must to reduce storage occupied and to keep the data intransmission as small as possible. READ MORE

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

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Justus Karlsson; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

  4. 8. Classifying Electricity Tower Image Data with Unsupervised Curriculum Learning

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Jacob Wedin; [2022]
    Keywords : ;

    Abstract : The core objective of this thesis is to classify a set of aerial photographs into two categories, those containing an electricity tower and those not containing an electricity tower. While supervised deep learning methods can reach excellent results on such tasks, they require large amounts of labeled data. READ MORE

  5. 9. Estimation of Water Depth from Multispectral Drone Imagery : A suitability assessment of CNN models for bathymetry retrieval in shallow water areas

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Qianyao Shen; [2022]
    Keywords : Bathymetry Retrieval; Multispectral Imagery; Convolutional Neural Network CNN ; Hämtning Av Batymetri; Multispektrala Bilder; Konvolutionellt Neuralt Nätverk CNN ;

    Abstract : Aedes aegypti and Aedes albopictus are the main vector species for dengue disease and zika, two arboviruses that affect a substantial fraction of the global population. These mosquitoes breed in very slow-moving or standing pools of water, so detecting and managing these potential breeding habitats is a crucial step in preventing the spread of these diseases. READ MORE

  6. 10. The World in 3D : Geospatial Segmentation and Reconstruction

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : David Robín Karlsson; [2022]
    Keywords : deep learning; ai; machine learning; geospatial; gis; heightmap; semantic segmentation; satellite imagery; aerial imagery;

    Abstract : Deep learning has proven a powerful tool for image analysis during the past two decades. With the rise of high resolution overhead imagery, an opportunity for automatic geospatial 3D-recreation has presented itself. This master thesis researches the possibil- ity of 3D-recreation through deep learning based image analysis of overhead imagery. READ MORE