Results 31 to 40 of about 41,227 (280)
Enhancement of Underwater Video Mosaics for Post-Processing [PDF]
, 2007 Mosaics of seafloor created from still images or video acquired underwater have proved to be useful for construction of maps of forensic and archeological sites, species\u27 abundance estimates, habitat characterization, etc.
Gu, Fan, Rzhanov, Yuri
core +3 more sources
Study on Small Samples Active Sonar Target Recognition Based on Deep Learning
Journal of Marine Science and Engineering, 2022 Underwater target classification methods based on deep learning suffer from obvious model overfitting and low recognition accuracy in the case of small samples and complex underwater environments.
Yule Chen, Hong Liang, Shuo Pang
doaj +1 more source
Robust Bayesian target detection algorithm for depth imaging from sparse single-photon data [PDF]
, 2016 This paper presents a new Bayesian model and associated algorithm for depth and intensity profiling using full waveforms from time-correlated single-photon counting (TCSPC) measurements in the limit of very low photon counts (i.e., typically less than 20
Altmann, Yoann +4 more
core +2 more sources
Complexity, 2020 This paper studies an advanced intelligent recognition method of underwater target based on unmanned underwater vehicle (UUV) vision system. This method is called kernel two-dimensional nonnegative matrix factorization (K2DNMF) which can further improve ...
Jian Xu +4 more
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Underwater Acoustic Target Recognition Based on Deep Residual Attention Convolutional Neural Network
Journal of Marine Science and Engineering, 2023 Underwater acoustic target recognition methods based on time-frequency analysis have shortcomings, such as missing information on target characteristics and having a large computation volume, which leads to difficulties in improving the accuracy and ...
Fang Ji +4 more
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Journal of Marine Science and Engineering, 2023 Underwater acoustic target recognition is a hot research area in acoustic signal processing. With the development of deep learning, feature extraction and neural network computation have become two major steps of recognition. Due to the complexity of the
Ji Wu +5 more
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Underwater Multi-Robot Convoying using Visual Tracking by Detection
, 2017 We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following in unstructured 3-D environments.
Chang, Wei-Di +9 more
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Environmental boundary tracking and estimation using multiple autonomous vehicles [PDF]
, 2008 In this paper, we develop a framework for environmental boundary tracking and estimation by considering the boundary as a hidden Markov model (HMM) with separated observations collected from multiple sensing vehicles.
Bertozzi, Andrea L., Jin, Zhipu
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Underwater Distortion Target Recognition Network (UDTRNet) via Enhanced Image Features
Computational Intelligence and Neuroscience, 2021 It is difficult for the autonomous underwater vehicle (AUV) to recognize targets similar to the environment in lacking data labels. Moreover, the complex underwater environment and the refraction of light cause the AUV to be unable to extract the complete significant features of the target.
Lei Cai, Chuang Chen, Haojie Chai
openaire +2 more sources
Underwater Polarization Imaging Based on Mueller Matrix
水下无人系统学报, 2023 Underwater polarization imaging method uses the polarization characteristic difference between the target information light and the backscattered light to achieve clear imaging, which is of great value in the field of underwater target detection and ...
Pingli HAN +4 more
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