Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder
EURASIP Journal on Advances in Signal Processing, 2022 Passive localization of underwater targets was a thorny problem in underwater acoustics. For traditional model-driven passive localization methods, the main challenges are the inevitable environmental mismatch and the presence of interference and noise ...
Pian Jin +4 more
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Research on the Influence of Underwater Image Enhancement Restoration on the Accuracy of Deep Learning Object Detection [PDF]
Jisuanji gongcheng, 2023 Due to the particularity of the underwater environment, underwater optical images often suffer from degradation issues such as color cast, blur, and low contrast.
Xieliu YANG, Guowen MEN, Wenfeng LIANG, Dan WANG, Zhengyi XIE, Huijie FAN
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Semantic Segmentation of Underwater Imagery: Dataset and Benchmark [PDF]
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 In this paper, we present the first large-scale dataset for semantic Segmentation of Underwater IMagery (SUIM). It contains over 1500 images with pixel annotations for eight object categories: fish (vertebrates), reefs (invertebrates), aquatic plants, wrecks/ruins, human divers, robots, and sea-floor.
Islam, Md Jahidul +7 more
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A New Method of Ship Type Identification Based on Underwater Radiated Noise Signals
Journal of Marine Science and Engineering, 2023 Ship type identification is an important basis for ship management and monitoring. The paper proposed a new method of ship type identification by combining characteristic parameters from the energy difference between high and low frequencies and the ...
Shanshan Chen +4 more
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Prediction Method of Underwater Acoustic Transmission Loss Based on Deep Belief Net Neural Network
Applied Sciences, 2021 The prediction of underwater acoustic transmission loss in the sea plays a key role in generating situational awareness in complex naval battles and assisting underwater operations. However, the traditional classical underwater acoustic transmission loss
Yihao Zhao +4 more
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ENHANCEMENT OF UNDERWATER IMAGES WITH ARTIFICIAL INTELLIGENCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesCamera systems using optical sensors have made great progress in recent years in obtaining underwater images. Very high-resolution images can be obtained with underwater cameras.
Z. Ertan +5 more
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A Markov Chain state transition approach to establishing critical phases for AUV reliability [PDF]
, 2011 The deployment of complex autonomous underwater platforms for marine science comprises a series of sequential steps. Each step is critical to the success of the mission. In this paper we present a state transition approach, in the form of a Markov chain,
Brito, Mario, Griffiths, Gwyn
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AQUALOC: An underwater dataset for visual–inertial–pressure localization [PDF]
The International Journal of Robotics Research, 2019 We present a new dataset, dedicated to the development of simultaneous localization and mapping methods for underwater vehicles navigating close to the seabed. The data sequences composing this dataset are recorded in three different environments: a harbor at a depth of a few meters, a first archeological site at a depth of 270 meters, and a second ...
Maxime Ferrera +3 more
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An Improved YOLOv5s-Based Scheme for Target Detection in a Complex Underwater Environment
Journal of Marine Science and Engineering, 2023 At present, sea cucumbers, sea urchins, and other seafood products have become increasingly significant in the seafood aquaculture industry. In traditional fishing operations, divers go underwater for fishing, and the complex underwater environment can ...
Chenglong Hou +4 more
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Bayesian three-dimensional reconstruction of toothed whale trajectories: Passive acoustics assisted with visual and tagging measurements [PDF]
, 2012 The author describes and evaluates a Bayesian method to reconstruct three-dimensional toothed whale trajectories from a series of echolocation signals.
Laplanche, Christophe
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