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  1. NTNU SmallSat Lab For Students Past Projects
  2. Project and Master Subjects 2023-2024
  3. Software Development for CubeSat Payloads for HYPSO-3

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Software Development for CubeSat Payloads for HYPSO-3

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  • Project and Master Subjects 2025-2026
  • Past Projects
    • Project and Master Subjects 2024-2025
    • Project and Master Subjects 2023-2024
      • Multi-satellite data fusion for ocean color remote sensing
      • Multimodal ocean color imaging with UAVs
      • Hyperspectral super-resolution for ecosystem monitoring in fjords
      • Semisupervised algae monitoring from hyperspectral satellites
      • Prediction of algal bloom dynamics using ocean simulations
      • Sharpening Hyperspectral Remote Sensing Data from Miniaturized Imagers
      • MIMO model for water constituents using HYPSO-1 data
      • Detection of Large Ships using HYPSO-1 Hyperspectral Remote Sensing Satellite Data
      • Unsupervised learning for hyperspectral image segmentation
      • Optimal Data Reduction in Miniaturized Hyperspectral Imaging Sensor
      • HYPSO-2: Software-defined-radio (SDR) payload integration for HYPSO-2
      • Automation of operations for the HYPSO-1 satellite
      • Designing a Software-defined-radio (SDR) application experiment for communication between on-ground sensor systems
      • HYPSO-3 Mission analysis
      • Software Development for CubeSat Payloads for HYPSO-3
    • Project and master assignments 2022
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Software Development for CubeSat Payloads for HYPSO-3

The HYPSO-3 mission is the planned follow-up for the HYPSO-1 and 2 satellites. HYPSO-1 was launched in January 2022, and HYPSO-2 will be launched in 2024. HYPSO-3 will feature a newer on-board processing platform, as well as several hyper-spectral instruments to collect hyperspectral data across the world.  This next generation of satellites from the NTNU SmallSat Lab will be based on the same code architecture that the HYPSO-1 payload uses today, but several adaptations must be made to accomodate more instruments and the new SoC platfrom (Xilinx Ultrascale). In this project you will identify the needs for future generation satellites that employ optical sensors, possibly also radio systems, familiarize with the operational environment, and suggest and implement improvements for the payload software.  The current core of the HYPSO satellites has some existing code and programming strategies that could benefit from your help. For more information contact Roger Birkeland or Sivert Bakken

contact: https://www.ntnu.edu/employees/roger.birkeland

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