Project and master assignments 2022
- Project and Master Subjects 2024-2025
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Past Projects
- Project and Master Subjects 2023-2024
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Project and master assignments 2022
- Ocean Color Data Analysis
- Software Development for Optical CubeSat Payload
- Ensemble Biomass Estimation
- Topics on Hyperspectral Image Encoding
- Atmospheric Correction of HYPSO-1
- Remote sensing data fusion for algae detection
- HYPSO hyperspectral satellite data fusion with in-situ sensors
- HYPSO-1 data georectification using direct and indirect methods
- Generation and calibration of HYPSO-1 data products
- Sentinel satellite multispectral data to aid HYPSO-1 imaging
- Verification and validation of HYPSO-2 optical payload
- HYPSO-2: Designing a Software-defined-radio (SDR) application experiment for communication between on-ground sensor systems
- HYPSO-2: Designing experiment for channel characterization using the Software-defined-radio (SDR) payload in HYPSO-2
- HYPSO - Space environment effects on hyperspectral imager: performing thermal experiments and modelling
- Software Development for Optical CubeSat Payload
- Re-design and re-configuration for hardware-software test-bench for HYPSO-1 and HYPSO-2 (FlatSat)
- Automation of operations for the HYPSO-1 satellite
- HYPSO - Georeferencing, operations - Incorporating ADCS telemetry into the OPU
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