[HTML][HTML] Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation …
MK Shahvandi, B Soja - Advances in Space Research, 2022 - Elsevier
Data uncertainty plays an important role in the field of geodesy. Even though deep learning
is becoming increasingly important for geodetic applications due to its high accuracy, it …
is becoming increasingly important for geodetic applications due to its high accuracy, it …
Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches
J Gou, C Rösch, E Shehaj, K Chen… - Remote Sensing, 2023 - mdpi.com
The International GNSS Service analysis centers provide orbit products of GPS satellites
with weekly, daily, and sub-daily latency. The most frequent ultra-rapid products, which …
with weekly, daily, and sub-daily latency. The most frequent ultra-rapid products, which …
Evaluation of ML-based classification algorithms for GNSS signals in ocean environment
JSRS Koiloth, DS Achanta… - Journal of Applied …, 2024 - degruyter.com
In the maritime environment, multipath interference exhibits a significantly pronounced
influence, resulting in GNSS system performance degradation. Enhancing system …
influence, resulting in GNSS system performance degradation. Enhancing system …
[PDF][PDF] Machine Learning for Orbit Determination
C Rösch, J Gou - 2022 - research-collection.ethz.ch
Precise orbit determination is vital for the increasingly vast number of space objects around
the Earth. Moreover, accurate orbit prediction of GNSS satellites is essential for many real …
the Earth. Moreover, accurate orbit prediction of GNSS satellites is essential for many real …
[PDF][PDF] MINISTÉRIO DA DEFESA EXÉRCITO BRASILEIRO DEPARTAMENTO DE CIÊNCIA E TECNOLOGIA INSTITUTO MILITAR DE ENGENHARIA PROGRAMA DE …
SS SURACI, IDEOEMR GNSS, E DE NIVELAMENTO… - researchgate.net
RESUMO A identificação de outliers, observações com erros de medida relativamente
maiores, é um dos principais desafios na análise de dados geodésicos. O Iterative Data …
maiores, é um dos principais desafios na análise de dados geodésicos. O Iterative Data …