Search Results - "Collins, Adam M."
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Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC
Published in Remote sensing (Basel, Switzerland) (01-12-2021)“…Timely observations of nearshore water depths are important for a variety of coastal research and management topics, yet this information is expensive to…”
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Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning
Published in Remote sensing (Basel, Switzerland) (01-10-2020)“…Resolving surf-zone bathymetry from high-resolution imagery typically involves measuring wave speeds and performing a physics-based inversion process using…”
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Super-resolution and uncertainty estimation from sparse sensors of dynamical physical systems
Published in Frontiers in water (14-03-2023)“…The goal of this study is to leverage emerging machine learning (ML) techniques to develop a framework for the global reconstruction of system variables from…”
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Automated Extraction of a Depth-Defined Wave Runup Time Series From Lidar Data Using Deep Learning
Published in IEEE transactions on geoscience and remote sensing (2023)“…Wave runup observations are key data for understanding coastal response to storms. Lidar scanners are capable of collecting swash elevation data at high…”
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Automated Extraction of a Depth-Defined Wave Runup Time Series From Lidar Data Using Deep Learning
Published in Geoscience and Remote Sensing, IEEE Transactions on (2023)“…Wave runup observations are key data for understanding coastal response to storms. Lidar scanners are capable of collecting swash elevation data at high…”
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