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Annonce

18 janvier 2019

Building footprint detection in satellite imagery using deep learning and image segmentation


Catégorie : Stagiaire


Created in 2013, the ICube laboratory brings together researchers from the University of Strasbourg, the CNRS (French National Center for Scientific Research), the ENGEES and INSA of Strasbourg in the fields of engineering and computer science, with imaging as the unifying theme.

SERTIT, a service platform of ICube, known for its ISO certified rapid mapping service, is seeking to accelerate its mapping activities through artificial intelligence. This service assists in post-crisis emergency management (e.g. ground rescue, reconstruction efforts …).

You will join a transversal team of researchers, software engineers and geomatics specialists from SERTIT (Regional service for remote sensing and image processing), SDC (Data science and knowledge), IMAGeS (Images, learning, geometry and statistics), working on automatic feature extraction from satellite imagery.

Mission

  • Users need to map buildings during rapid mapping after a disaster strikes
  • Collaborate with research teams to transfer techniques from medical imaging to remote sensing
  • Develop new innovative solutions to automatically extract building footprints using:
  • Deep Learning
  • Object based segmentation algorithms

 

 

http://plateforme.icube.unistra.fr/sertit/img_auth.php/3/3d/Stage_2019_Offre_%28EN%29.pdf

 

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(c) GdR 720 ISIS - CNRS - 2011-2018.