Automated geospatial feature generation via deep learning methods
grant ID: PT01195
Project leader: Samuel Sisay Tadesse
Implementers:
- Samuel Sisay Tadesse
Politechnika Gdańska
Wydział Elektroniki, Telekomunikacji i Informatyki
Gdańsk
Start date: 2024-10-16
Planned end date: 2027-10-16
Project summary
Currently conducting a research for PhD thesis, which focuses on the vectorization of satellite images. This research aims to convert complex satellite imagery into structured vector data, which can be utilized for various applications, including urban planning, agriculture monitoring, and disaster management. To achieve this, we need to train machine learning models on a substantial amount of satellite image data. Access to GPU resources is crucial for efficiently processing these large datasets and significantly speeding up the training process required for the research.
CONTACT
Our consultants help future and novice users of specialized software installed on High Performance Computers (KDM) at the TASK IT Center.
Contact for High Performance Computers, software / licenses, computing grants, reports:
Administrators reply to e-mails on working days between 8:00 am – 3:00 pm.