Project and Master Subjects 2023-2024
- Project and Master Subjects 2025-2026
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Past Projects
- Project and Master Subjects 2024-2025
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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
Topics 22-23
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