Detection of Large Ships using HYPSO-1 Hyperspectral Remote Sensing Satellite Data
- Project and Master Subjects 2024-2025
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Past Projects
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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
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Project and Master Subjects 2023-2024
Detection of Large Ships using HYPSO-1 Hyperspectral Remote Sensing Satellite Data
Contact
sivert.bakken@ntnu.no
The aim of this project is to investigate the potential of HYPSO-1 hyperspectral remote sensing satellite data to detect large ships. This project aims to identify patterns in the ocean surface related to disturbances on the surface caused by the passage of vessels, including submarines.
This project aims to build upon existing work and extend it to HYPSO-1 hyperspectral remote sensing satellite data. In addition, there is a lot of AIS data publicly available, which could be used to validate the results of this project.
The expected results of this project are to determine whether HYPSO-1 hyperspectral remote sensing satellite data can be used to detect large ships and to identify any relationships between the presence of large ships and the patterns in the ocean surface. The project will also provide insights into the potential of hyperspectral data to be used in the future to monitor and detect large ships in different oceanic environments.
Links
https://ntnuopen.ntnu.no/ntnu-xmlui/browse?value=Tofting,%20Adrian&type=author;
http://vake.ai/;
https://www.vesselfinder.com;
https://doi.org/10.4319/lo.2004.49.6.2179