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  1. NTNU SmallSat Lab For Students
  2. Past Projects
  3. Project and Master Subjects 2023-2024

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Project and Master Subjects 2023-2024

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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
MENY

Master Topics 2022-2023

Project and Master Topics for the Fall of 2023

Here is an overview of the NTNU SmallSat Lab's topics for the students starting with their project thesis in the fall of 2023.

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

Automation of operations for the HYPSO-1 satellite

Designing a Software-defined-radio (SDR) application experiment for communication between on-ground sensor systems

Designing experiment for channel characterization using the Software-defined-radio (SDR) payload in HYPSO-2

HYPSO-3 Mission analysis

Software Development for CubeSat Payloads for HYPSO-3

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