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Modeling the effect of random roughness on synthetic aperture sonar image statistics
(2022-09-02)
A model has been developed to predict the effect of random seafloor roughness on synthetic aperture sonar (SAS) image statistics, based on the composite roughness approximation–a physical scattering model. The continuous ...
A wavelet schrinkage approach to detect candidate point scatterers in synthetic aperture sonar images for resolution estimation
(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 ...
A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Networks
(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
(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 ...