Isaac D. Gerg

Research Assistant, Applied Research Laboratory (ARL)

Source: Scopus
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18 Citations
2 h-Index
7 Conference contribution
2 Article
1 Conference article

Structural Prior Driven Regularized Deep Learning for Sonar Image Classification
Gerg, I. D. & Monga, V., 2021, (Accepted/In press) In: IEEE Transactions on Geoscience and Remote Sensing.
Research output: Contribution to journal › Article › peer-review
Data Adaptive Image Enhancement and Classification for Synthetic Aperture Sonar
Gerg, I. D., Williams, D. P. & Monga, V., Sep 26 2020, 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2835-2838 4 p. 9324047. (International Geoscience and Remote Sensing Symposium (IGARSS)).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Interpolation Kernels for Synthetic Aperture Sonar Along-Track Motion Estimation
Brown, D. C., Gerg, I. D. & Blanford, T. E., Oct 2020, In: IEEE Journal of Oceanic Engineering. 45, 4, p. 1497-1505 9 p., 8768320.
Research output: Contribution to journal › Article › peer-review
Coupling rendering and generative adversarial networks for artificial SAS image generation
Reed, A., Gerg, I. D., McKay, J. D., Brown, D. C., Williamsk, D. P. & Jayasuriya, S., Oct 2019, OCEANS 2019 MTS/IEEE Seattle, OCEANS 2019. Institute of Electrical and Electronics Engineers Inc., 8962733. (OCEANS 2019 MTS/IEEE Seattle, OCEANS 2019).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations
Additional representations for improving synthetic aperture sonar classification using con-volutional neural networks
Gerg, I. D. & Williams, D. P., 2018, 4th International Conference on Synthetic Aperture Sonar and Synthetic Aperture Radar 2018. Institute of Acoustics, p. 11-22 12 p. (Proceedings of the Institute of Acoustics; vol. 40).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Structural Prior Driven Regularized Deep Learning for Sonar Image Classification

Data Adaptive Image Enhancement and Classification for Synthetic Aperture Sonar

Interpolation Kernels for Synthetic Aperture Sonar Along-Track Motion Estimation

Coupling rendering and generative adversarial networks for artificial SAS image generation

Additional representations for improving synthetic aperture sonar classification using con-volutional neural networks