This semester's Project and Master Subjects (more to come):

• Super-agile operation of small satellites
• Early warning fault detection for satellite operations based on telemetry
• Semi-controlled re-entry for a satellite using attitude control (with StatSat)
• System identification of environmental effects for a satellite during re-entry (with StatSat)
• Mu-analysis for agile satellite attitude control maneuvers
• 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.
• 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.
• Starlink: Signals of Opportunity positioning, navigation and timing (PNT)
• GNSS-R: Simulator design of a GNSS-Reflectometry simulator
• GNSS-R: Payload and embedded SW design
• GNSS-R: GNSS jamming and spoofing detection and localization from space
• GNSS-R: Formation flying of small satellites
• GNSS-R: Novel ship-detection methods for GNSS-Reflectometry
• Auomatic satellite telemetry anomaly detection and trend analysis
• Which works better, explainable AI or black-box AI?
• Integrating the HYPSO constellation with the Copernicus Suite
• Explainable AI on a GPU
• What can the HYPSO-3 Hyperperspectral Cameras Observe?
• Multi-angle hyperspectral atmospheric compensation
• Could a short-wave infrared hyperspectral imager characterize oil spills?
• Coordinated Planning between a satellite constellation and a Autonomous Surface Vehicle
• Calibration of Hyperspectral camera point-spread function
• Prototype a Star tracker
• Explainable AI for Ocean Monitoring Time-series
• How can an atmospheric compensation algorithm accomodate commerical off-the-shelf sensors?
• Biophysical simulation for data generation
• Hyperspectral data fusion for HYPSO-3
• Agile imaging maneuvers for the HYPSO satellites
• Explainable hyperspectral AI for Harmful Algal Bloom monitoring
• The sensitivity of the proposed HYPSO-3 Near-Infrared camera to water absorption
• Explainable hyperspectral AI for Lake Mjøsa

Did you not find anything that interests you, but still want to work with us? Contact a member of the lab, or Bjørn at bjorn.a.kristiansen@ntnu.no with a short description of what you want to do, and he'll help you find who to talk to.