A Machine-Learning-Based Ocean-Current Velocity Inversion Model Using OCN From Sentinel-1 Observations
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3554229
Abstract: High-precision ocean-current velocity inversion is crucial for maritime activities. Synthetic aperture radar (SAR) has become a key data source for ocean-current velocity inversion. However, traditional methods, such as the Doppler centroid anomaly (DCA) and along-track… read more here.
Keywords: model; current velocity; ocean current; velocity inversion ... See more keywords
Robust Deep Learning Seismic Velocity Inversion Over Varying Acquisitions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3250121
Abstract: Retrieving subsurface velocity information from recorded seismograms generally involves solving an inverse problem using various optimization methods. Deep learning (DL) has recently become an emerging alternative technique to provide solutions for such velocity inversion tasks.… read more here.
Keywords: velocity inversion; robust deep; velocity; deep learning ... See more keywords
Seismic Velocity Inversion Based on Physically Constrained Neural Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3339783
Abstract: The propagation velocity of seismic waves is a crucial parameter in seismic exploration, encompassing the entire process of seismic data acquisition, processing, and interpretation. Traditional model-driven full-waveform inversion (FWI) methods, which rely on an initial… read more here.
Keywords: seismic velocity; velocity; network; inversion ... See more keywords
Microseismic Velocity Inversion Based on Deep Learning and Data Augmentation
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14052194
Abstract: Microseismic monitoring plays an essential role for reservoir characterization and earthquake disaster monitoring and early warning. The accuracy of the subsurface velocity model directly affects the precision of event localization and subsequent processing. It is… read more here.
Keywords: velocity inversion; velocity; microseismic velocity; data augmentation ... See more keywords