: Explores detecting underwater objects by their magnetic signatures (e.g., iron content) rather than just visual or acoustic means.
(2021): Focuses on using CNNs to estimate the distance of an underwater source, which is critical for tracking moving targets. Underwater Mine & Target Identification : Explores detecting underwater objects by their magnetic
(2024): Introduces the "UDMDet" framework designed to identify objects that are concealed or have profiles similar to their surroundings. (2024): This paper improves deep learning models (DETR)
(2024): This paper improves deep learning models (DETR) to better detect underwater targets in noisy and blurred environments, specifically testing on categories like fish and divers. : Explores detecting underwater objects by their magnetic
If you are looking for research related to (specifically the technology behind detecting or tracking underwater targets), the following academic papers cover related fields like underwater object detection and robotics: Underwater Object Detection & Tracking