24 citations · 37 across the 5 of their papers we have counts for
12 papers
Iterative, Deep Synthetic Aperture Sonar Image Segmentation
Yung-Chen Sun, Isaac D. Gerg, Vishal Monga
Synthetic aperture sonar (SAS) systems produce high-resolution images of the seabed environment. Moreover, deep learning has demonstrated superior ability in finding robust feature…
Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation
Yung-Chen Sun, Isaac D. Gerg, Vishal Monga
Deep learning has not been routinely employed for semantic segmentation of seabed environment for synthetic aperture sonar (SAS) imagery due to the implicit need of abundant traini…
Real-Time, Deep Synthetic Aperture Sonar (SAS) Autofocus
Isaac D. Gerg, Vishal Monga
Synthetic aperture sonar (SAS) requires precise time-of-flight measurements of the transmitted/received waveform to produce well-focused imagery. It is not uncommon for errors in t…
GPU Acceleration for Synthetic Aperture Sonar Image Reconstruction
Isaac D. Gerg, Daniel C. Brown, Stephen G. Wagner +4
Synthetic aperture sonar (SAS) image reconstruction, or beamforming as it is often referred to within the SAS community, comprises a class of computationally intensive algorithms f…
Structural Prior Driven Regularized Deep Learning for Sonar Image Classification
Isaac D. Gerg, Vishal Monga
Deep learning has been recently shown to improve performance in the domain of synthetic aperture sonar (SAS) image classification. Given the constant resolution with range of a SAS…
Deep Autofocus for Synthetic Aperture Sonar
Isaac Gerg, Vishal Monga
Synthetic aperture sonar (SAS) requires precise positional and environmental information to produce well-focused output during the image reconstruction step. However, errors in the…