Sökning: "satellite database"

Visar resultat 1 - 5 av 39 uppsatser innehållade orden satellite database.

  1. 1. Initial Orbit Determination of Resident Space Objects From A Passive Optical Imaging System: : Application to Space Situational Awareness

    Master-uppsats, Luleå tekniska universitet/Rymdteknik

    Författare :Jessica McKenna; [2023]
    Nyckelord :Space Situational Awareness; Space Science; Angles-Only Initial Orbit Determination;

    Sammanfattning : The probability of satellite collisions and disintegrations cluttering the near-Earth orbital environmentis ever-growing. This is especially true for the congested Low Earth Orbit (LEO) regime; once a critical density of objects is reached, a collisional cascading is projected to generate runaway growth of theorbital population. LÄS MER

  3. 2. Evaluation of rainfall-runoff modelling data in Sebeya Catchment, Rwanda - Recommendations for improved flood hazard analysis

    Master-uppsats, Lunds universitet/Avdelningen för Teknisk vattenresurslära

    Författare :Anna Ebbersten; [2023]
    Nyckelord :Rwanda; Sebeya; hydrological modelling; rainfall-runoff; catchment; HEC-HMS; Technology and Engineering;

    Sammanfattning : Rwanda has experienced an increase in the frequency of riverine floods since the mid 2000s, and the future impact of climate change on the hydrological cycle is uncertain. Flood hazard analysis is one tool used to reduce flood risks; the analysis is often based on models which requires hydrological and meteorological data. LÄS MER

  4. 3. 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

  5. 4. Tidig detektering avgranbarkborreangrepp med hjälp avfjärranalys via Sentinel-2

    Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Najm Eddin Eid; Petter Jakobsson; [2022]
    Nyckelord :Remote sensing; Sentinel-2; spruce bark beetle; spruce forest; vegetation analysis; vegetation index; band combinations; image analysis.; Fjärranalys; Sentinel-2; granbarkborre; granskog; vegetationsanalys; vegetationsindex; bandkombinationer; bildanalys.;

    Sammanfattning : Granbarkborre är en av Sveriges mest destruktiva skadeinsekter som angriper granskog. Insekten har medfört förödande konsekvenser för granskog, framför allt sedan2018 där stora arealer granskog nästan har eliminerats. Insekten trivs i varmt ochtorrt klimat. LÄS MER

  7. 5. Using satellite data to calculate entropy of electrons at collisionless shocks

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

    Författare :Sofie Berglund; Alice Wallner; [2022]
    Nyckelord :entropy; electrons; plasma; Earth’s bow shock; magnetic field; collisionless shock; plasma beta; Alfv´en Mach number; MMS; NASA; satellite; IRF;

    Sammanfattning : The solar wind is a supersonic flow of protons and electrons emitted in all directions from the sun. As the supersonic solar wind encounters Earth’s magnetic field, it creates the Earth’s bow shock, which increases the kinetic entropy of electrons passing through it. LÄS MER