DRT Conference 2024 (Barcelona)
Mapping of Geological Fractures: A CNN Approach
Poster download
Download poster: PDF (30.5 MB), optimized PDF (1.4 MB), PPT (to use as template)
Code
Interactive comparison
Ground truth
DeeplabV3+
PAN (Pyramid Attention Network)
U-Net
Manet (Multi-scale Attention Net)
References
- [1] Matthäi, Stephan K., and Mandefro Belayneh. 2004. “Fluid Flow Partitioning between Fractures and a Permeable Rock Matrix.” Geophysical Research Letters 31(7). doi: 10.1029/2003GL019027.
- [2] Bemis, Sean P., Steven Micklethwaite, Darren Turner, Mike R. James, Sinan Akciz, Sam T. Thiele, and Hasnain Ali Bangash. 2014. “Ground-Based and UAV-Based Photogrammetry: A Multi-Scale, High-Resolution Mapping Tool for Structural Geology and Paleoseismology.” Journal of Structural Geology 69:163–78. doi: 10.1016/j.jsg.2014.10.007.
- [3] Nordbäck, Nicklas, and Nikolas Ovaskainen. 2022. “UAV-Acquired Orthomosaics of Loviisa Shoreline Outcrops.” doi: 10.5281/zenodo.7077519.
- [4] Ronneberger, Olaf, Philipp Fischer, and Thomas Brox. 2015. “U-Net: Convolutional Networks for Biomedical Image Segmentation.” Pp. 234–41 in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, Lecture Notes in Computer Science, edited by N. Navab, J. Hornegger, W. M. Wells, and A. F. Frangi. Cham: Springer International Publishing. doi: 10.1007/978-3-319-24574-4_28.
- [5] Chen, Liang-Chieh, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam. 2018. “Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.” doi: 10.48550/arXiv.1802.02611.
- [6] Li, Hanchao, Pengfei Xiong, Jie An, and Lingxue Wang. 2018. “Pyramid Attention Network for Semantic Segmentation.” doi: 10.48550/arXiv.1805.10180.
- [7] Ovaskainen, Nikolas, and Nicklas Nordbäck. 2022. “Manually Mapped Traces from UAV-Acquired Images of Loviisa Shoreline Outcrops.” doi: 10.5281/zenodo.7077846.
- [8] Ovaskainen, Nikolas. 2023. “Fractopo: A Python Package for Fracture Network Analysis.” Journal of Open Source Software 8(85):5300. doi: 10.21105/joss.05300.