WSL Institute for Snow and Avalanche Research SLFOpen OpportunitiesBorehole image logs serve as essential datasets for extracting a wide range of geological features. Traditionally, analysing these logs has involved a tedious labelling process by geological experts. Recently, machine learning has demonstrated remarkable capabilities in image processing. This project focuses on utilizing machine learning model to improve the efficiency and accuracy of detecting and classifying discontinuity features within borehole wall imagery. - Artificial Intelligence and Signal and Image Processing, Geology
- Bachelor Thesis, Master Thesis, Semester Project
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