This semester's Project and Master Subjects:

1. Improving Images for Climate Action: This project delves into enhancing image quality in terms of unwanted noise for a clearer understanding of climate change.
2. Every Variable Everywhere All at Once: a project aiming for better strategies for handling high-dimensional data.
3. Protecting Water Resources through Machine Learning and Hyperspectral Imaging in Remote Sensing CubeSats: This subject explores using machine learning and advanced imaging techniques on miniature satellites to safeguard water resources.
4. More Effective Earth Observation for Climate Action Through Learned Data Compression in CubeSats:This project investigates using machine learning to compress Earth observation data collected by CubeSats, enabling more efficient data transmission.
5. Mitigating Camera Artifacts in HYPSO Data for Improved Climate Monitoring: This subject tackles improving the accuracy of climate monitoring data by correcting for camera distortions in HYPSO satellite images.
6. Characterization of High-resolution Spectral Imager: This project focuses on characterizing a high-resolution spectral imaging instrument, for future Earth observation purposes.
7. A Foundational Unmixing Model for the HYPSO satellites: This subject delves into developing a fundamental model to analyze data from the HYPSO Earth observation satellites.
8. Hyper/Multispectral image fusion with HYPSO-2: This project explores combining data from different spectral bands captured by the HYPSO-2 satellite.
9. Game theory applied to energy optimal satellite attitude control: This subject explores using game theory to optimize satellite energy use while maintaining proper orientation.
10. Mu-analysis for agile satellite attitude control maneuvers: By using mu-analysis, you'll ensure these agile maneuvers remain precise even when faced with uncertainties. This work will directly impact Earth observation satellites, contributing to monitoring our planet's health.
11. Randomized optimization applied to super-agile satellite operations: This project uses cutting-edge optimization methods to achieve super-agile maneuvers for satellites, impacting everything from climate change studies to water monitoring!
12. Modelling super-agile satellite operations for optimization: This project challenges you to build a digital model that captures the complexities of super-agile satellites. Imagine optimizing maneuvers, energy use, and data transmission for satellites that can react like never before.
13. Enabling high-accuracy HYPSO image georeferencing by high-accuracy satellite pose estimation through postprocessing of satelitte sensor data: This project aims to improve the geographical accuracy of HYPSO images using post-processing techniques such as smoothing of onboard sensor data. The data is obtained telemetry.
14. High-accuracy attitude determination of Earth observation satellites: This project focuses on high-accuracy attitude determination aimed to improve Earth observation capabilities. The project will focus on algorithm development and choice of sensors (types and number of sensors) to determine how accurate the atttiude estimates can become.
15. Agile Earth Observation Satellite simulation studies: This subject focuses on simulating the behavior of agile Earth observation satellites.
16. Multi-angle image analysis and what we can learn about the atmosphere: This project explores analyzing images taken from multiple angles to gain insights into Earth's atmosphere.
17. GNSS-R: GNSS-Reflectometry small satellite simulator: Orbits and signals
18. GNSS-R: GNSS jamming and spoofing source localization from a small satellite
19. GNSS-R: Maritime Surveillance using GNSS-Reflectometry