Browsing by Author "Geilhufe, Marc"
Now showing items 1-8 of 8
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3D Rendering of Shipwrecks from Synthetic Aperture Sonar
Lorentzen, Ole Jacob; Hansen, Roy Edgar; Sæbø, Torstein Olsmo; Synnes, Stig Asle Vaksvik; Geilhufe, Marc (2021-10-25)Synthetic aperture sonar (SAS) bathymetric mapping provides centimeter-scale horizontal resolution of the seafloor. Typically, SAS data has been visualized as 2D images or gridded 2.5D surfaces, but it can also be plotted ... -
Comparison of model selection techniques for seafloor scattering statistics
Olson, Derek R.; Geilhufe, Marc (2023)Acoustic measurements of seafloor backscattering are a source of unwanted sound in seafloor object detection1–3, but also provide a rich set of information regarding the seafloor properties and structure4–7. The intensity ... -
Comparison of synthetic aperture sonar images and optical images of UXOs from the Skagerrak chemical munitions dumpsite
Hansen, Roy Edgar; Geilhufe, Marc; Bakken, Erik Makino; Sæbø, Torstein Olsmo (2019-11-28)After World War II chemical munitions were loaded onto large ships and sunk in the Skagerrak Strait in the Norwegian trench, in deep waters between Norway and Denmark. In collaboration with the Norwegian Coastal Administration, ... -
Multi-phase performance evaluation for modern minehunting systems
Midtgaard, Øivind; Warakagoda, Narada Dilp; Davies, Gary; Connors, Warren A.; Geilhufe, Marc (2019-05-10)Many NATO navies are in the process of replacing their dedicated minehunting vessels with systems of heterogeneous, unmanned modules. While traditional ship-based assets prosecute sonar contacts in sequence through to ... -
A Multiscale Wavelet-Based Test for Isotropy of Random Fields on a Regular Lattice
Thon, Kevin Otto; Geilhufe, Marc; Percival, Donald B. (2015)A test for isotropy of images modeled as stationary or intrinsically stationary random fields on a lattice is developed. The test is based on the wavelet theory, and can operate on the horizontal and vertical scale of ... -
A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Networks
Orescanin, Marco; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar; Warakagoda, Narada Dilp (2023-10-20)This paper presents an empirical study that evaluates the impact of different types of augmentations on the performance of Deep Learning (DL) models for detecting imaging artifacts in Synthetic Aperture Sonar (SAS) imagery. ... -
Uncertainty quantification with deep learning through variational inference with applications to synthetic aperture sonar
Orescanin, Marco; Harrington, Brian; Olson, Derek R.; Geilhufe, Marc; Hansen, Roy Edgar; Warakagoda, Narada Dilp (2023)Deep learning (DL) has gained popularity in applications and research within the active sonar community both in academic and commercial settings due to the ability of such models to learn complex non-linear relationships ... -
A wavelet schrinkage approach to detect candidate point scatterers in synthetic aperture sonar images for resolution estimation
Geilhufe, Marc; Olson, Derek R.; Hansen, Roy Edgar; Synnes, Stig Asle Vaksvik (2023)Autonomous Underwater Vehicles (AUVs) that are equipped with side-looking synthetic aperture sonar (SAS) have become a popular asset for efficient high resolution imaging and mapping of the seafloor. There are situations ...