Publications
] , “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.
, “Machine Learning Strategies for Enhancing Bathymetry Extraction from Imbalanced Lidar Point Clouds”, Oceans 2019. IEEE, Seattle, WA, 2019.
Oceans2019_KLowell_BCalder_190523-005.pdf (741.12 KB)
Oceans2019_KLowell_BCalder_190523-005.pdf (741.12 KB), “Machine Learning Strategies for Enhancing Bathymetry Extraction from Imbalanced Lidar Point Clouds”, Oceans '19. IEEE, Seattle, WA, 2019.
, “Developing Machine Learning Models for Quality Assurance and Continuous Improvement of Bathymetry Extraction from Lidar Point Clouds”, Canadian Hydrographic Conference. Quebec City, Quebec, Canada, 2020. Lowell_Calder_CHC2020_Final.pdf (638.59 KB)
Lowell_Calder_CHC2020_Final.pdf (638.59 KB), “The Effect of Two 12 kHz Multibeam Mapping Surveys on the Foraging Behavior of Cuvier’s Beaked Whales Off of Southern California”, Journal of the Acoustical Society of America, vol. 147(6). Acoustical Society of America, pp. 3849-3858, 2020.
, “Measuring Shallow-water Bathymetric Signal Strength in Lidar Point Attribute Data Using Machine Learning”, International Journal of Geographical Information Science. Taylor and Francis, 2020.
, “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.
, “Applying Machine Learning to LIDAR Pulse Return Meta-Data to Improve Bathymetric Mapping in Shallow Water”, Computers and Geosciences. Taylor and Francis, London, UK, Submitted.
