Convolutional autoencoding of small targets in the littoral sonar acoustic backscattering domain
TJ Linhardt, A Sen Gupta, M Bays - Journal of Marine Science and …, 2022 - mdpi.com
Automated target recognition is an important task in the littoral warfare domain, as
distinguishing mundane objects from mines can be a matter of life and death. This is initial …
distinguishing mundane objects from mines can be a matter of life and death. This is initial …
D4SC: Deep Supervised Semantic Segmentation for Seabed Characterization and Uncertainty Estimation for Large Scale Mapping
Y Arhant, OL Tellez, X Neyt… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Seabed characterization consists in the study of the physical and biological properties of the
of ocean floors. Sonar is commonly employed to capture the acoustic backscatter reflected …
of ocean floors. Sonar is commonly employed to capture the acoustic backscatter reflected …
Modular Algorithm Testbed Suite (MATS): an open architecture for automatic target recognition
D Kolacinski, B Marchand… - Open Architecture/Open …, 2019 - spiedigitallibrary.org
Here we discuss an open software architecture to develop, test, and evaluate machine
learning algorithms for target detection and classification. This architecture, known as the …
learning algorithms for target detection and classification. This architecture, known as the …