Calibration of Hyperspectral camera point-spread function
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Project and Master Subjects 2025-2026
- 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
- System identification of environmental effects for a satellite during re-entry
- 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
- High-accuracy attitude determination of Earth observation satellites
- 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 source localization from space
- GNSS-R: Formation flying of small satellites
- GNSS-R: Novel ship-detection methods for GNSS-Reflectometry
- Automatic 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?
- 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
- Past Projects
Calibration of Hyperspectral camera point-spread function (F25/S26)
Project Description
NTNU is developing a high-spatial resolution hyperspectral camera for its next satellite, HYPSO-3. This project will involve building a test setup the ITK's Optics Lab to measure the point-spread function (PSF) of hyperspectral cameras. The PSF describes how a single point of light is spread among the different pixels of a camera. The test involves coordinating the collection of camera data with the rotation and lateral motion of a small slit. The test is necessary for determining whether the HYPSO-3 camera functions as it is designed to. The project is ideal for students who've completed Instrumentation and Measurement Techniques, but it is not strictly required.
Once launched, the HYPSO-3 satellite will be used for water quality monitoring of fjords and lakes in order to help Norway achieve the UN's sustainable development goals. Saving fish farms from harmful algal blooms is a particularly important goal of the HYPSO-3 mission.
Skills that will be learned:
- How to calibrate a camera
- What camera properties are important to spectral imaging
- How cameras interact with other components in an autonomous system (in this case, a satellite)
- Some programming (probably python) for data analysis
Some related work at NTNU: Theses:
- http://hdl.handle.net/11250/2625737 (MSc - calibrations of an earlier version of the camera)
- https://hdl.handle.net/11250/3107199 (PhD - an earlier version of the camera)
Other:
- http://hdl.handle.net/11250/2635214 - Software corrections for some of the discovered calibration imperfections
- http://kho.unis.no/doc/Reports/LongRangeHSI.html - report on the new HYPSO-3 camera
Supervisor(s)
This project would be advised by Joe Garrett.