no code implementations • 29 Oct 2020 • Isaac Gerg, Vishal Monga
In this letter, we demonstrate the potential of machine learning, specifically deep learning, to address the autofocus problem.
no code implementations • 13 Sep 2019 • Albert Reed, Isaac Gerg, John McKay, Daniel Brown, David Williams, Suren Jayasuriya
Acquisition of Synthetic Aperture Sonar (SAS) datasets is bottlenecked by the costly deployment of SAS imaging systems, and even when data acquisition is possible, the data is often skewed towards containing barren seafloor rather than objects of interest.
no code implementations • 15 Aug 2018 • Brian Reinhardt, Isaac Gerg, Daniel Brown, Joonho Park
The heuristic and information theoretical metrics were then compared to the image rank from which they were derived.
no code implementations • 8 Aug 2018 • Isaac Gerg, David Williams
For human consumption, the SLC is converted to a magnitude-phase representation and the phase information is discarded.
no code implementations • 8 Jan 2018 • John McKay, Isaac Gerg, Vishal Monga
There are many real-world classification problems wherein the issue of data imbalance (the case when a data set contains substantially more samples for one/many classes than the rest) is unavoidable.
no code implementations • 29 Jun 2017 • John McKay, Isaac Gerg, Vishal Monga, Raghu Raj
Finding mines in Sonar imagery is a significant problem with a great deal of relevance for seafaring military and commercial endeavors.