Automated geospatial feature generation via deep learning

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

Traugutta 75, Street, 80-221 Gdańsk
tel.: + 48 58 347 24 11
email: office@task.gda.pl
NIP: 584-020-35-93
REGON: 000001620
Opening hours: Monday-Friday 08.00 am – 03.00 pm