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Articles 121 - 122 of 122
Full-Text Articles in Oceanography
Semi-Supervised Adversarial Domain Adaptation For Seagrass Detection Using Multispectral Images In Coastal Areas, Kazi Aminul Islam, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li
Semi-Supervised Adversarial Domain Adaptation For Seagrass Detection Using Multispectral Images In Coastal Areas, Kazi Aminul Islam, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li
Electrical & Computer Engineering Faculty Publications
Seagrass form the basis for critically important marine ecosystems. Previously, we implemented a deep convolutional neural network (CNN) model to detect seagrass in multispectral satellite images of three coastal habitats in northern Florida. However, a deep CNN model trained at one location usually does not generalize to other locations due to data distribution shifts. In this paper, we developed a semi-supervised domain adaptation method to generalize a trained deep CNN model to other locations for seagrass detection. First, we utilized a generative adversarial network loss to align marginal data distribution between source domain and target domain using unlabeled data from …
Seagrass Losses Since Mid-20th Century Fuelled Co2 Emissions From Soil Carbon Stocks [Dataset], Cristian Salinas, Carlos M. Duarte, Paul S. Lavery, Pere Masque, Ariane Arias-Ortiz, Javier Leon, David Callaghan, Gary A. Kendrick, Oscar Serrano
Seagrass Losses Since Mid-20th Century Fuelled Co2 Emissions From Soil Carbon Stocks [Dataset], Cristian Salinas, Carlos M. Duarte, Paul S. Lavery, Pere Masque, Ariane Arias-Ortiz, Javier Leon, David Callaghan, Gary A. Kendrick, Oscar Serrano
Research Datasets
The database compiles published data (in Salinas et al. 2020) on biogeochemical characteristics (density, organic carbon, stable carbon isotopes, sediment grain size) of cores from Posidonia australis and sinuosa soil in Cockburn Sound, Western Australia.