Sökning: "Satellite sensor data"

Visar resultat 6 - 10 av 39 avhandlingar innehållade orden Satellite sensor data.

  1. 6. Enhancing Tropospheric Humidity Data Records from Satellite Microwave and Radiosonde Sensors

    Författare :Isaac Moradi; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; CDR; climate; microwave; radiosonde; water vapor; remote sensing; antenna; homogenization; humidity; meteorology; troposphere; radio-frequency;

    Sammanfattning : Water vapor is the most dominant greenhouse gas and plays a critical role in the climate by regulating the Earth's radiation budget and hydrological cycle. A comprehensive dataset is required to describe the temporal and spatial distribution of water vapor, evaluate the performance of climate and weather prediction models in terms of simulating tropospheric humidity, and understand the role of water vapor and its feedback in the climate system. LÄS MER

  3. 7. Multi-Modal Deep Learning with Sentinel-1 and Sentinel-2 Data for Urban Mapping and Change Detection

    Författare :Sebastian Hafner; Yifang Ban; Paolo Gamba; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Geoinformatics; Geoinformatik;

    Sammanfattning : Driven by the rapid growth in population, urbanization is progressing at an unprecedented rate in many places around the world. Earth observation has become an invaluable tool to monitor urbanization on a global scale by either mapping the extent of cities or detecting newly constructed urban areas within and around cities. LÄS MER

  4. 8. Sensor Fusion for Smartphone-based Vehicle Telematics

    Författare :Johan Wahlström; Peter Händel; Erik Gudmundson; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : The fields of navigation and motion inference have rapidly been transformed by advances in computing, connectivity, and sensor design. As a result, unprecedented amounts of data are today being collected by cheap and small navigation sensors residing in our surroundings. LÄS MER

  5. 9. Parameter Estimation for Mobile Positioning Applications

    Författare :Parinaz Kasebzadeh; Fredrik Gustafsson; Gustaf Hendeby; Carsten Fritsche; Fredrik Gunnarsson; Jussi Collin; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : The availability and reliability of mobile positioning algorithms depend on both the quality of measurements and the environmental characteristics. The positioning systems based on global navigation satellite systems (GNSS), for example, have typically a few meters accuracy but are unavailable in signal denied conditions and unreliable in multipath environments. LÄS MER

  7. 10. A Novel Explainable Belief Rule-Based Prediction Framework under Uncertainty

    Författare :Sami Kabir; Karl Andersson; Mohammad Shahadat Hossain; Kary Främling; Luleå tekniska universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Pervasive Mobile Computing; Distribuerade datorsystem;

    Sammanfattning : Traditional Machine Learning (ML) and Deep Learning (DL) models provide very accurate predictions because of their intricate mathematical operations. However, these models do not explain the reasons in support of the predictive outputs. Therefore, there is no trust between humans and AI when it produces such obtuse results. LÄS MER