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K. Lowell and Calder, B. R., Extracting Shallow-water Bathymetry from Lidar Point Clouds Using Pulse Attribute Data: Merging Density-based and Machine Learning Approaches, Marine Geodesy, vol. 44(4) (DOI: https://doi.org/10.1080/01490419.2021.1925790). Taylor and Francis, pp. 259-286, 2021.
K. Lowell, Calder, B. R., and Lyons, A. P., Measuring Shallow-water Bathymetric Signal Strength in Lidar Point Attribute Data Using Machine Learning, International Journal of Geographical Information Science, vol. 35(8) (DOI:10.1080/13658816.2020.1925790). Taylor and Francis, pp. 1592-1610, 2021.
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J. Pierce, Rzhanov, Y., Lowell, K., and Dijkstra, J. A., Reducing Annotation Times: Semantic Segmentation of Coral Reef Survey Images, Global Oceans 2020. IEEE, U.S. Gulf Coast, Biloxi, MS, USA, pp. 1-9, 2020.
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K. Lowell and Calder, B. R., Improving Extraction of Bathymetry from Lidar Using Machine Learning, 20th Annual Coastal Mapping & Charting Workshop of the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). p. Notre Dame, IN, 2019.
K. Lowell and Calder, B. R., Machine Learning Strategies for Enhancing Bathymetry Extraction from Imbalanced Lidar Point Clouds, Oceans '19. IEEE, Seattle, WA, 2019.
K. Lowell and Calder, B. R., Machine Learning Strategies for Enhancing Bathymetry Extraction from Imbalanced Lidar Point Clouds, Oceans 2019. IEEE, Seattle, WA, 2019.PDF icon Oceans2019_KLowell_BCalder_190523-005.pdf (741.12 KB)