The project

Research project aiming at the exploring and assessing potential of weak and semi-supervision methods to produce land cover maps through semantic segmentation.

Skills learned and/or deployed:

• Optical VHRRS image processing with object-based image analysis (OBIA)
• Machine learning (feature selection, hyperparameter optimization)
• Deep learning for semantic segmentation (Tensorflow, Keras)
• Python programming (scikit-learn, Tensorflow, Numpy, Pandas)
• Docker containerization and Singularity for HPC
• Grass Gis, Qgis
• Git, Github
• Unix