24.8.8 ATR -- Sonar, Acoustic

Zhang, X., Huang, H., Ying, W., Wang, H., Xiao, J.,
An Indirect Range-Doppler Algorithm for Multireceiver Synthetic Aperture Sonar Based on Lagrange Inversion Theorem,
GeoRS(55), No. 6, June 2017, pp. 3572-3587.
IEEE DOI 1706
Approximation algorithms, Azimuth, Imaging, Receivers, Synthetic aperture sonar, Transmitters, Imaging algorithm, Lagrange inversion theorem, multireceiver, phase error, subblock, synthetic aperture sonar (SAS), transfer, function BibRef

Huang, W.[Wei], Wang, D.[Delin], Garcia, H.[Heriberto], Godø, O.R.[Olav Rune], Ratilal, P.[Purnima],
Continental Shelf-Scale Passive Acoustic Detection and Characterization of Diesel-Electric Ships Using a Coherent Hydrophone Array,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

McKay, J., Monga, V., Raj, R.G.,
Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification,
GeoRS(55), No. 10, October 2017, pp. 5563-5576.
IEEE DOI 1710
Bayes methods, feature extraction, image reconstruction, object recognition, pose estimation, sonar imaging, statistical distributions, BibRef

Wang, D.[Delin], Ratilal, P.[Purnima],
Angular Resolution Enhancement Provided by Nonuniformly-Spaced Linear Hydrophone Arrays in Ocean Acoustic Waveguide Remote Sensing,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Zhang, W.J.[Wen-Jun], Liu, Y.M.[Yu-Ming], Ratilal, P.[Purnima], Cho, B.G.[Byung-Gu], Makris, N.C.[Nicholas C.],
Active Nonlinear Acoustic Sensing of an Object with Sum or Difference Frequency Fields,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Wang, X.[Xiao], Zhao, J.H.[Jian-Hu], Zhu, B.Y.[Bang-Yan], Jiang, T.C.[Ting-Chen], Qin, T.T.[Tian-Tian],
A Side Scan Sonar Image Target Detection Algorithm Based on a Neutrosophic Set and Diffusion Maps,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Choo, Y.M.[Young-Min], Seong, W.[Woojae],
Compressive Sound Speed Profile Inversion Using Beamforming Results,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
Acoustic propogation in the ocean. BibRef

Park, J.[Jaihyun], Ku, B.[Bonhwa], Jin, Y.[Youngsaeng], Ko, H.S.[Han-Seok],
Side Scan Sonar Image Super Resolution via Region-Selective Sparse Coding,
IEICE(E102-D), No. 1, January 2019, pp. 210-213.
WWW Link. 1901
BibRef

Zhu, B.Y.[Bang-Yan], Wang, X.[Xiao], Chu, Z.W.[Zheng-Wei], Yang, Y.[Yi], Shi, J.[Juan],
Active Learning for Recognition of Shipwreck Target in Side-Scan Sonar Image,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zhang, X.B.[Xue-Bo], Tan, C.[Cheng], Ying, W.W.[Wen-Wei],
An Imaging Algorithm for Multireceiver Synthetic Aperture Sonar,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Fakiris, E.[Elias], Blondel, P.[Philippe], Papatheodorou, G.[George], Christodoulou, D.[Dimitris], Dimas, X.[Xenophon], Georgiou, N.[Nikos], Kordella, S.[Stavroula], Dimitriadis, C.[Charalampos], Rzhanov, Y.[Yuri], Geraga, M.[Maria], Ferentinos, G.[George],
Multi-Frequency, Multi-Sonar Mapping of Shallow Habitats: Efficacy and Management Implications in the National Marine Park of Zakynthos, Greece,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wang, X.M.[Xing-Mei], Li, Q.M.[Qi-Ming], Yin, J.W.[Jing-Wei], Han, X.[Xiao], Hao, W.Q.[Wen-Qian],
An Adaptive Denoising and Detection Approach for Underwater Sonar Image,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Brandes, T.S., Ballard, B.,
Adaptive Seabed Characterization With Hierarchical Bayesian Modeling of SAS Imagery,
GeoRS(57), No. 3, March 2019, pp. 1278-1290.
IEEE DOI 1903
geophysical image processing, image texture, object detection, oceanographic techniques, seafloor phenomena, sonar imaging, seafloor characterization BibRef

Zou, B.[Bo], Zhai, J.S.[Jing-Sheng], Qi, Z.F.[Zhan-Feng], Li, Z.X.[Zhao-Xing],
A Comparison of Three Sediment Acoustic Models Using Bayesian Inversion and Model Selection Techniques,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Xiao, Z.L.[Zhao-Lin], Zhang, M.[Meng], Chen, L.S.[Li-Sheng], Jin, H.Y.[Hai-Yan],
Detection and segmentation of underwater CW-like signals in spectrum image under strong noise background,
JVCIR(60), 2019, pp. 287-294.
Elsevier DOI 1903
Continuous wave-like signal. CW-like signal, Signal spectrum analysis, Gaussian mixture model, Clustering analysis, Signal detection BibRef

Zhuang, M., Zhan, Q., Zhou, J., Liu, N., Liu, Q.H.,
Incorporating Full Attenuation Mechanisms of Poroelastic Media for Realistic Subsurface Sensing,
GeoRS(57), No. 4, April 2019, pp. 2087-2096.
IEEE DOI 1904
acoustic wave scattering, finite difference time-domain analysis, remote sensing, viscodynamics BibRef

Ye, X.F.[Xiu-Fen], Yang, H.B.[Hai-Bo], Li, C.L.[Chuan-Long], Jia, Y.P.[Yun-Peng], Li, P.[Peng],
A Gray Scale Correction Method for Side-Scan Sonar Images Based on Retinex,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Williams, D.P.,
A Novel Framework for Evaluating Performance-Estimation Models,
GeoRS(57), No. 8, August 2019, pp. 5285-5302.
IEEE DOI 1908
geophysical image processing, hydrological techniques, object detection, object recognition, probability, synthetic aperture sonar (SAS) BibRef

Wang, X.M.[Xing-Mei], Liu, A.[Anhua], Zhang, Y.[Yu], Xue, F.Z.[Fu-Zhao],
Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Abu, A., Diamant, R.,
Enhanced Fuzzy-Based Local Information Algorithm for Sonar Image Segmentation,
IP(29), No. 1, 2020, pp. 445-460.
IEEE DOI 1910
fuzzy logic, image denoising, image segmentation, sonar imaging, synthetic aperture sonar, intensity inhomogeneity BibRef

Stateczny, A.[Andrzej], Blaszczak-Bak, W.[Wioleta], Sobieraj-Zlobinska, A.[Anna], Motyl, W.[Weronika], Wisniewska, M.[Marta],
Methodology for Processing of 3D Multibeam Sonar Big Data for Comparative Navigation,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Duane, D.[Daniel], Cho, B.G.[Byung-Gu], Jain, A.D.[Ankita D.], Godø, O.R.[Olav Rune], Makris, N.C.[Nicholas C.],
The Effect of Attenuation from Fish Shoals on Long-Range, Wide-Area Acoustic Sensing in the Ocean,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Wei, B.[Bo], Li, H.[Haisen], Zhou, T.[Tian], Xing, S.[Siyu],
Obtaining 3D High-Resolution Underwater Acoustic Images by Synthesizing Virtual Aperture on the 2D Transducer Array of Multibeam Echo Sounder,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Li, H., Yang, K., Duan, R.,
Robust Multipath Time-Delay Estimation of Broadband Source Using a Vertical Line Array in Deep Water,
SPLetters(27), 2020, pp. 51-55.
IEEE DOI 2001
Sonar equipment, Estimation, Signal processing algorithms, Correlation, Noise measurement, Acoustics, Delays, multipath time-delay BibRef

Gaida, T.C.[Timo C.], Mohammadloo, T.H.[Tannaz H.], Snellen, M.[Mirjam], Simons, D.G.[Dick G.],
Mapping the Seabed and Shallow Subsurface with Multi-Frequency Multibeam Echosounders,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Misiuk, B.[Benjamin], Brown, C.J.[Craig J.], Robert, K.[Katleen], Lacharité, M.[Myriam],
Harmonizing Multi-Source Sonar Backscatter Datasets for Seabed Mapping Using Bulk Shift Approaches,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Grzadziel, A.[Artur],
Results from Developments in the Use of a Scanning Sonar to Support Diving Operations from a Rescue Ship,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Zhang, Y., Zhu, X., Gao, J.,
Parameter Estimation of Acoustic Wave Equations Using Hidden Physics Models,
GeoRS(58), No. 7, July 2020, pp. 4629-4639.
IEEE DOI 2006
Mathematical model, Acoustic waves, Ground penetrating radar, Adaptation models, Data models, Numerical models, Data-driven, state variables estimation BibRef

Feldens, P.[Peter],
Super Resolution by Deep Learning Improves Boulder Detection in Side Scan Sonar Backscatter Mosaics,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Li, S.B.[Shao-Bo], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Bi, Z.J.[Zi-Jun], Qu, S.H.[Si-Heng],
A Non-Local Low-Rank Algorithm for Sub-Bottom Profile Sonar Image Denoising,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Tang, Z.J.[Zhi-Jie], Ma, G.[Gaoqian], Lu, J.Q.[Jia-Qi], Wang, Z.[Zhen], Fu, B.[Bin], Wang, Y.J.[Yi-Jie],
Sonar image mosaic based on a new feature matching method,
IET-IPR(14), No. 10, August 2020, pp. 2149-2155.
DOI Link 2008
BibRef

Xu, Y.C.[Yi-Chao], Wang, X.M.[Xing-Mei], Wang, K.H.[Kun-Hua], Shi, J.H.[Jia-Hao], Sun, W.[Wei],
Underwater sonar image classification using generative adversarial network and convolutional neural network,
IET-IPR(14), No. 12, October 2020, pp. 2819-2825.
DOI Link 2010
BibRef

Li, S.B.[Shao-Bo], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Bi, Z.J.[Zi-Jun], Qu, S.H.[Si-Heng],
A Novel Horizon Picking Method on Sub-Bottom Profiler Sonar Images,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Li, S.B.[Shao-Bo], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Qu, S.H.[Si-Heng],
An Integrated Horizon Picking Method for Obtaining the Main and Detailed Reflectors on Sub-Bottom Profiler Sonar Image,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Kim, Y.[Youngseok], Ryou, J.[Jaesuk],
A Study of Sonar Image Stabilization of Unmanned Surface Vehicle Based on Motion Sensor for Inspection of Underwater Infrastructure,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Zhu, C.Y.[Chen-Yang], Seri, S.G.[Sai Geetha], Mohebbi-Kalkhoran, H.[Hamed], Ratilal, P.[Purnima],
Long-Range Automatic Detection, Acoustic Signature Characterization and Bearing-Time Estimation of Multiple Ships with Coherent Hydrophone Array,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Yuan, F.[Fei], Xiao, F.Q.[Feng-Qi], Zhang, K.H.[Kai-Han], Huang, Y.F.[Yi-Fan], Cheng, E.[En],
Noise reduction for sonar images by statistical analysis and fields of experts,
JVCIR(74), 2021, pp. 102995.
Elsevier DOI 2101
Sonar image, Denoising, Gamma distribution, Fields of Experts BibRef

Grøn, O.[Ole], Boldreel, L.O.[Lars Ole], Smith, M.F.[Morgan F.], Joy, S.[Shawn], Boumda, R.T.[Rostand Tayong], Mäder, A.[Andreas], Bleicher, N.[Niels], Madsen, B.[Bo], Cvikel, D.[Deborah], Nilsson, B.[Björn], Sjöström, A.[Arne], Galili, E.[Ehud], Nørmark, E.[Egon], Hu, C.Q.[Chang-Qing], Ren, Q.[Qunyan], Blondel, P.[Philippe], Gao, X.[Xing], Stråkendal, P.[Petra], Dell'Anno, A.[Antonio],
Acoustic Mapping of Submerged Stone Age Sites: A HALD Approach,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Kazimierski, W.[Witold], Zaniewicz, G.[Grzegorz],
Determination of Process Noise for Underwater Target Tracking with Forward Looking Sonar,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Yan, J.[Jun], Meng, J.X.[Jun-Xia], Zhao, J.H.[Jian-Hu],
Bottom Detection from Backscatter Data of Conventional Side Scan Sonars through 1D-UNet,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Satheesh, C., Kamal, S.[Suraj], Mujeeb, A., Supriya, M.H.,
Passive Sonar Target Classification Using Deep Generative beta-VAE,
SPLetters(28), 2021, pp. 808-812.
IEEE DOI 2105
BibRef

Character, L.[Leila], JR, A.O.[Agustin Ortiz], Beach, T.[Tim], Luzzadder-Beach, S.[Sheryl],
Archaeologic Machine Learning for Shipwreck Detection Using Lidar and Sonar,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Wu, Q.S.[Qi-Song], Zhang, H.[Hao], Lai, Z.C.[Zhi-Chao], Xu, Y.H.[You-Hai], Yao, S.[Shuai], Tao, J.[Jun],
An Enhanced Data-Driven Array Shape Estimation Method Using Passive Underwater Acoustic Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Wu, Q.S.[Qi-Song], Xu, Y.H.[You-Hai],
A Nonlinear Data-Driven Towed Array Shape Estimation Method Using Passive Underwater Acoustic Data,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Zheng, G.[Gen], Zhang, H.M.[Hong-Mei], Li, Y.Q.[Yu-Qing], Zhao, J.H.[Jian-Hu],
A Universal Automatic Bottom Tracking Method of Side Scan Sonar Data Based on Semantic Segmentation,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Choi, H.M.[Ha-Min], Yang, H.S.[Hae-Sang], Seong, W.J.[Woo-Jae],
Compressive Underwater Sonar Imaging with Synthetic Aperture Processing,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Yu, Y.C.[Yong-Can], Zhao, J.H.[Jian-Hu], Gong, Q.H.[Quan-Hua], Huang, C.[Chao], Zheng, G.[Gen], Ma, J.Y.[Jin-Ye],
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhu, C.Q.[Chuan-Qi], Fang, S.L.[Shi-Liang], Wu, Q.S.[Qi-Song], An, L.[Liang], Luo, X.W.[Xin-Wei], Cao, H.L.[Hong-Li],
A Time-Frequency Joint Time-Delay Difference Estimation Method for Signal Enhancement in the Distorted towed Hydrophone Array,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Carro, B.M.[Berta M.], Reyes, A.[Alejandro], Morales, J.A.[Juan A.], Borrego, J.[José],
Application of the Comparison of Multibeam Echo-Sound Records to the Study of Stability of a Toxic Waste Stockpile Located on the Margin of a Tidal System: Tinto Estuary, Huelva, SW Spain,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Trzcinska, K.[Karolina], Tegowski, J.[Jaroslaw], Pocwiardowski, P.[Pawel], Janowski, L.[Lukasz], Zdroik, J.[Jakub], Kruss, A.[Aleksandra], Rucinska, M.[Maria], Lubniewski, Z.[Zbigniew], von Deimling, J.S.[Jens Schneider],
Measurement of Seafloor Acoustic Backscatter Angular Dependence at 150 kHz Using a Multibeam Echosounder,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Li, S.B.[Shao-Bo], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Qu, S.H.[Si-Heng],
Sub-Bottom Sediment Classification Using Reliable Instantaneous Frequency Calculation and Relaxation Time Estimation,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Gerg, I.D.[Isaac D.], Monga, V.[Vishal],
Structural Prior Driven Regularized Deep Learning for Sonar Image Classification,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI 2112
Synthetic aperture sonar, Deep learning, Task analysis, Training, Training data, Image enhancement, Linear programming, synthetic aperture sonar (SAS) BibRef

Zhang, X.[Xuebo], Yang, P.X.[Pei-Xuan],
An Improved Imaging Algorithm for Multi-Receiver SAS System with Wide-Bandwidth Signal,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
synthetic aperture sonar. BibRef

Cheng, Z.[Zhen], Huo, G.Y.[Guan-Ying], Li, H.[Haisen],
A Multi-Domain Collaborative Transfer Learning Method with Multi-Scale Repeated Attention Mechanism for Underwater Side-Scan Sonar Image Classification,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Huang, Z.[Zihao], Li, S.[Shuang], Yang, X.H.[Xing-Hai], Wang, J.J.[Jing-Jing],
OAE-EEKNN: An Accurate and Efficient Automatic Modulation Recognition Method for Underwater Acoustic Signals,
SPLetters(29), 2022, pp. 518-522.
IEEE DOI 2202
Feature extraction, Modulation, Entropy, Encoding, Underwater acoustics, Decoding, Training, EEKNN BibRef

Chen, W.L.[Wei-Ling], Lin, R.[Rongfu], Zhang, R.X.[Rong-Xin], Zhu, Y.[Yi],
A blind contour-aware quality model for sonar images,
IET-IPR(16), No. 4, 2022, pp. 1017-1026.
DOI Link 2203
BibRef

Zhang, H.Q.[Hui-Qing], Li, S.[Shuo], Li, D.H.[Dong-Hao], Wang, Z.C.[Zi-Chen], Zhou, Q.X.[Qi-Xiang], You, Q.X.[Qi-Xin],
Sonar image quality evaluation using deep neural network,
IET-IPR(16), No. 4, 2022, pp. 992-999.
DOI Link 2203
BibRef

Zheng, C.Y.[Cheng-Yu], Zhou, Y.[Yuan], Peng, X.L.[Xiu-Lian], Zhang, Y.[Yuan], Lu, Y.[Yan],
Time-Variance Aware Dynamic Kernel Generation for Real-Time Acoustic Echo Cancellation,
SPLetters(29), 2022, pp. 967-971.
IEEE DOI 2205
Kernel, Convolution, Microphones, Decoding, Delays, Adaptation models, Real-time systems, Acoustic echo cancellation, time-variance, deep neural network BibRef

Bryan, O.[Oscar], Hansen, R.E.[Roy Edgar], Haines, T.S.F.[Tom S. F.], Warakagoda, N.[Narada], Hunter, A.[Alan],
Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

de Castro Vargas Fernandes, J.[Júlio], de Moura Junior, N.N.[Natanael Nunes], de Seixas, J.M.[José Manoel],
Deep Learning Models for Passive Sonar Signal Classification of Military Data,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Lewicka, O.[Oktawia], Specht, M.[Mariusz], Stateczny, A.[Andrzej], Specht, C.[Cezary], Dyrcz, C.[Czeslaw], Dabrowski, P.[Pawel], Szostak, B.[Bartosz], Halicki, A.[Armin], Stateczny, M.[Marcin], Widzgowski, S.[Szymon],
Analysis of Transformation Methods of Hydroacoustic and Optoelectronic Data Based on the Tombolo Measurement Campaign in Sopot,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Xu, L.[Liya], Huang, J.J.[Jian-Jun], Zhang, H.[Hao], Liao, B.[Bin],
Direction of Arrival Estimation of Acoustic Sources with Unmanned Underwater Vehicle Swarm via Matrix Completion,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Ma, Y.X.[Yan-Xin], Liu, M.Q.[Meng-Qi], Zhang, Y.[Yi], Zhang, B.B.[Bing-Bing], Xu, K.[Ke], Zou, B.[Bo], Huang, Z.J.[Zhi-Jian],
Imbalanced Underwater Acoustic Target Recognition with Trigonometric Loss and Attention Mechanism Convolutional Network,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Khobotov, A.G.[Alexander Gennadievich], Kalinina, V.I.[Vera Igorevna], Khil'ko, A.I.[Alexander Ivanovich], Malekhanov, A.I.[Alexander Igorevich],
Novel Neuron-like Procedure of Weak Signal Detection against the Non-Stationary Noise Background with Application to Underwater Sound,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Li, Y.Z.[Yuan-Zi], Ye, X.F.[Xiu-Fen], Zhang, W.Z.[Wei-Zheng],
TransYOLO: High-Performance Object Detector for Forward Looking Sonar Images,
SPLetters(29), 2022, pp. 2098-2102.
IEEE DOI 2211
Fuzzy logic, Detectors, Transformers, Feature extraction, Estimation, Object detection, Location awareness, Feature fusion network, anchor-free BibRef

Sun, Y.S.[Yu-Shan], Zheng, H.T.[Hao-Tian], Zhang, G.C.[Guo-Cheng], Ren, J.F.[Jing-Fei], Xu, H.[Hao], Xu, C.[Chao],
DP-ViT: A Dual-Path Vision Transformer for Real-Time Sonar Target Detection,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, H.[Hui], Huang, Y.[Yao], Luo, F.[Fang], Yang, L.[Liejun],
Multi-Node Joint Power Allocation Algorithm Based on Hierarchical Game Learning in Underwater Acoustic Sensor Networks,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Xi, J.[Jier], Ye, X.F.[Xiu-Fen], Li, C.L.[Chuan-Long],
Sonar Image Target Detection Based on Style Transfer Learning and Random Shape of Noise under Zero Shot Target,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Li, Z.Y.[Zi-Yang], Piao, S.C.[Sheng-Chun], Zhang, M.H.[Ming-Hui], Gong, L.J.[Li-Jia],
Influence of Range-Dependent Sound Speed Profile on Position of Convergence Zones,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Dwivedi, P.[Priyadarshini], Routray, G.[Gyanajyoti], Hegde, R.M.[Rajesh M.],
Learning based method for near field acoustic range estimation in spherical harmonics domain using intensity vectors,
PRL(165), 2023, pp. 17-24.
Elsevier DOI 2301
Spherical harmonics, Near-field, Range estimation, Spherical harmonics intensity BibRef

Li, J.[Jinrui], Chen, L.[Libin], Shen, J.[Jian], Xiao, X.W.[Xiong-Wu], Liu, X.S.[Xiao-Song], Sun, X.[Xin], Wang, X.[Xiao], Li, D.R.[De-Ren],
Improved Neural Network with Spatial Pyramid Pooling and Online Datasets Preprocessing for Underwater Target Detection Based on Side Scan Sonar Imagery,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Eleftherios, K.[Kaklamanis], Ratilal, P.[Purnima], Makris, N.C.[Nicholas C.],
Optimal Automatic Wide-Area Discrimination of Fish Shoals from Seafloor Geology with Multi-Spectral Ocean Acoustic Waveguide Remote Sensing in the Gulf of Maine,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Li, C.L.[Chuan-Long], Ye, X.[Xiufen], Xi, J.[Jier], Jia, Y.P.[Yun-Peng],
A Texture Feature Removal Network for Sonar Image Classification and Detection,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Du, X.[Xing], Sun, Y.F.[Yong-Fu], Song, Y.P.[Yu-Peng], Sun, H.F.[Hui-Feng], Yang, L.[Lei],
A Comparative Study of Different CNN Models and Transfer Learning Effect for Underwater Object Classification in Side-Scan Sonar Images,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Chen, L.[Liang], Huang, J.P.[Jian-Ping], Fu, L.Y.[Li-Yun], Peng, W.[Weiting], Song, C.[Cheng], Han, J.[Jiale],
A Compact High-Order Finite-Difference Method with Optimized Coefficients for 2D Acoustic Wave Equation,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Zhao, Z.X.[Zhen-Xing], Li, Q.[Qi], Xia, Z.[Zhi], Shang, D.[Dajing],
A Single-Hydrophone Coherent-Processing Method for Line-Spectrum Enhancement,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Ma, Q.X.[Qi-Xiang], Jiang, L.[Longyu], Yu, W.X.[Wen-Xue],
Lambertian-based adversarial attacks on deep-learning-based underwater side-scan sonar image classification,
PR(138), 2023, pp. 109363.
Elsevier DOI 2303
Adversarial attack, Classification, Side-scan sonar, Lambertian model BibRef

Shi, P.F.[Peng-Fei], Sun, H.R.[Huan-Ru], Xin, Y.X.[Yuan-Xue], He, Q.[Qi], Wang, X.T.[Xiao-Tian],
SDNet: Image-based sonar detection network for multi-scale objects,
IET-IPR(17), No. 4, 2023, pp. 1208-1223.
DOI Link 2303
sonar, object detection, feature extraction, convolutional neural nets, computer vision BibRef

Yang, S.[Sidan], Liu, X.[Xuan], Su, Y.S.[Yi-Shan],
A Traffic-Aware Fair MAC Protocol for Layered Data Collection Oriented Underwater Acoustic Sensor Networks,
RS(15), No. 6, 2023, pp. 1501.
DOI Link 2304
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Caldeira, A., Coelho, R.,
EEMD-IF Based Method for Underwater Noisy Acoustic Signals Enhancement in Time-Domain,
SPLetters(30), 2023, pp. 294-298.
IEEE DOI 2304
Noise measurement, Chirp, Speech enhancement, Signal to noise ratio, Acoustic noise, Time-domain analysis, index of non-stationarity BibRef

Li, X.Y.[Xin-Yan], Wang, D.P.[Dian-Peng], Tian, Y.[Yubin], Kong, X.S.[Xiang-Shun],
A method for extracting interference striations in lofargram based on decomposition and clustering,
IET-IPR(17), No. 6, 2023, pp. 1951-1958.
DOI Link 2305
Sound from ships, etc. image processing, sonar imaging, statistics BibRef

Buchan, S.J.[Susannah J.], Duran, M.[Miguel], Rojas, C.[Constanza], Wuth, J.[Jorge], Mahu, R.[Rodrigo], Stafford, K.M.[Kathleen M.], Yoma, N.B.[Nestor Becerra],
An HMM-DNN-Based System for the Detection and Classification of Low-Frequency Acoustic Signals from Baleen Whales, Earthquakes, and Air Guns off Chile,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Zeng, Y.M.[Yu-Ming], Shen, S.[Siyi], Xu, Z.W.[Zhi-Wei],
Water Surface Acoustic Wave Detection by a Millimeter Wave Radar,
RS(15), No. 16, 2023, pp. 4022.
DOI Link 2309
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Guo, H.X.[Hong-Xia], Hu, G.H.[Guang-Hui], Ma, G.Q.[Guan-Qiu],
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case,
SIIMS(16), No. 3, 2023, pp. 1535-1571.
DOI Link 2309
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Garnier, J.[Josselin], Haddar, H.[Houssem], Montanelli, H.[Hadrien],
The Linear Sampling Method for Random Sources,
SIIMS(16), No. 3, 2023, pp. 1572-1593.
DOI Link 2309
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Du, X.[Xing], Sun, Y.[Yongfu], Song, Y.P.[Yu-Peng], Dong, L.F.[Li-Feng], Zhao, X.L.[Xiao-Long],
Revealing the Potential of Deep Learning for Detecting Submarine Pipelines in Side-Scan Sonar Images: An Investigation of Pre-Training Datasets,
RS(15), No. 19, 2023, pp. 4873.
DOI Link 2310
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Wang, J.[Jian], Li, H.[Haisen], Dong, C.[Chao], Wang, J.[Jing], Zheng, B.[Bing], Xing, T.Y.[Tian-Yao],
An Underwater Side-Scan Sonar Transfer Recognition Method Based on Crossed Point-to-Point Second-Order Self-Attention Mechanism,
RS(15), No. 18, 2023, pp. 4517.
DOI Link 2310
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Duan, T.[Tong], Liang, H.[Hong], Dai, Z.[Zezhou], Yue, L.[Lei],
High-Resolution Wideband Waveform Design for Sonar Based on Multi-Parameter Modulation,
RS(15), No. 18, 2023, pp. 4603.
DOI Link 2310
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Zhao, B.[Boyu], Zhou, Q.[Qian], Huang, L.J.[Li-Jun], Zhang, Q.[Qiang],
Unpaired sonar image denoising with simultaneous contrastive learning,
CVIU(235), 2023, pp. 103783.
Elsevier DOI 2310
Image denoising, Sonar image, Unpaired learning, Contrastive learning BibRef

Liu, J.[Jia], Pang, Y.[Yan], Yan, L.[Lengleng], Zhu, H.[Hanhao],
An Image Quality Improvement Method in Side-Scan Sonar Based on Deconvolution,
RS(15), No. 20, 2023, pp. 4908.
DOI Link 2310
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Zhou, X.[Xin], Tian, K.[Kun], Zhou, Z.[Zihan], Ning, B.[Bo], Wang, Y.[Yanhao],
SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling,
RS(15), No. 20, 2023, pp. 5072.
DOI Link 2310
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Abu, A.[Avi], Diamant, R.[Roee],
Underwater object classification combining SAS and transferred optical-to-SAS Imagery,
PR(144), 2023, pp. 109868.
Elsevier DOI 2310
synthetic aperture sonar. Feature extraction, Shape descriptors, Self-similarity, Fourier descriptor, Region-based feature, Contour-based features BibRef

Zhao, S.[Shuang], Liu, H.M.[Hui-Min], Xue, S.Q.[Shu-Qiang], Wang, Z.J.[Zhen-Jie], Xiao, Z.[Zhen],
Two-Step Correction Based on In-Situ Sound Speed Measurements for USBL Precise Real-Time Positioning,
RS(15), No. 20, 2023, pp. 5046.
DOI Link 2310
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Feng, S.[Sheng], Zhu, X.Q.[Xiao-Qian], Ma, S.Q.[Shu-Qing], Lan, Q.[Qiang],
Adversarial Attacks in Underwater Acoustic Target Recognition with Deep Learning Models,
RS(15), No. 22, 2023, pp. 5386.
DOI Link 2311
BibRef

Park, S.[Sundong], Choi, Y.[Yoonyoung], Hwang, H.[Hyoseok],
SACuP: Sonar Image Augmentation with Cut and Paste Based DataBank for Semantic Segmentation,
RS(15), No. 21, 2023, pp. 5185.
DOI Link 2311
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Grzadziel, A.[Artur],
The Impact of Side-Scan Sonar Resolution and Acoustic Shadow Phenomenon on the Quality of Sonar Imagery and Data Interpretation Capabilities,
RS(15), No. 23, 2023, pp. 5599.
DOI Link 2312
BibRef

Huang, W.[Wei], Zhou, J.X.[Ji-Xuan], Gao, F.[Fan], Wang, J.T.[Jun-Ting], Xu, T.H.[Tian-He],
Experimental Results of Underwater Sound Speed Profile Inversion by Few-Shot Multi-Task Learning,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Yang, C.R.[Chao-Ran], Ling, Q.[Qing], Sheng, X.L.[Xue-Li], Mu, M.F.[Meng-Fei], Jakobsson, A.[Andreas],
Detecting Weak Underwater Targets Using Block Updating of Sparse and Structured Channel Impulse Responses,
RS(16), No. 3, 2024, pp. 476.
DOI Link 2402
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Meng, J.X.[Jun-Xia], Yan, J.[Jun], Zhang, Q.[Qinghe],
Anti-Interference Bottom Detection Method of Multibeam Echosounders Based on Deep Learning Models,
RS(16), No. 3, 2024, pp. 530.
DOI Link 2402
BibRef

Li, W.[Wenda], Wu, T.Q.[Tian-Qi], Liu, H.[Hong],
Multi-Scale Acoustic Velocity Inversion Based on a Convolutional Neural Network,
RS(16), No. 5, 2024, pp. 772.
DOI Link 2403
BibRef

Feng, X.[Xiao], Tian, T.[Tian], Zhou, M.Z.[Ming-Zhang], Sun, H.X.[Hai-Xin], Li, D.Z.[Ding-Zhao], Tian, F.[Feng], Lin, R.B.[Rong-Bin],
Sound Speed Inversion Based on Multi-Source Ocean Remote Sensing Observations and Machine Learning,
RS(16), No. 5, 2024, pp. 814.
DOI Link 2403
BibRef

Li, L.[Lin], Han, X.[Xiao], Ge, W.[Wei],
Iterative Signal Detection and Channel Estimation with Superimposed Training Sequences for Underwater Acoustic Information Transmission in Time-Varying Environments,
RS(16), No. 7, 2024, pp. 1209.
DOI Link 2404
BibRef

Zhou, X.[Xin], Zhou, Z.[Zihan], Wang, M.[Manying], Ning, B.[Bo], Wang, Y.[Yanhao], Zhu, P.[Pengli],
Multi-level feature enhancement network for object detection in sonar images,
JVCIR(100), 2024, pp. 104147.
Elsevier DOI 2405
Sonar image, Object detection, Multi-scale feature fusion, Geometric distortion BibRef

Dong, H.T.[Hai-Tao], Suo, J.[Jian], Zhu, Z.G.[Zhi-Gang], Wang, H.Y.[Hai-Yan], Ji, H.B.[Hong-Bing],
Enhanced Underwater Single Vector-Acoustic DOA Estimation via Linear Matched Stochastic Resonance Preprocessing,
RS(16), No. 10, 2024, pp. 1802.
DOI Link 2405
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Zhou, P.[Ping], Chen, J.[Jifa], Tang, P.[Pu], Gan, J.J.[Jian-Jun], Zhang, H.M.[Hong-Mei],
A Multi-Scale Fusion Strategy for Side Scan Sonar Image Correction to Improve Low Contrast and Noise Interference,
RS(16), No. 10, 2024, pp. 1752.
DOI Link 2405
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Grosch, A.[Anja], Enneking, C.[Christoph], Greda, L.A.[Lukasz A.], Tanajewski, D.[Dariusz], Grunwald, G.[Grzegorz], Ciecko, A.[Adam],
Theoretical Concept for a Mobile Underwater Radio-Navigation System Using Pseudolite Buoys,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Yang, J.M.[Jian-Min], Wang, J.[Jiahui], Yu, H.T.[Hai-Tao], Gao, Y.[Yexin], Wu, Z.Q.[Zhuo-Qian], Peng, Z.H.[Zhi-Hong],
WLQRP: A Weighting Link-Quality-Based Routing Protocol for Underwater Sensor Networks,
RS(15), No. 24, 2023, pp. 5651.
DOI Link 2401
BibRef

Du, L.[Libin], Wang, Z.K.[Zheng-Kai], Lv, Z.C.[Zhi-Chao], Han, D.[Dongyue], Wang, L.[Lei], Yu, F.[Fei], Lan, Q.[Qing],
A Method for Underwater Acoustic Target Recognition Based on the Delay-Doppler Joint Feature,
RS(16), No. 11, 2024, pp. 2005.
DOI Link 2406
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Li, X.L.[Xiao-Lei], Xu, Y.J.[Yang-Jin], Gao, W.[Wei], Wang, H.Z.[Hao-Zhong], Wang, L.[Liang],
Harmonic Source Depth Estimation by a Single Hydrophone under Unknown Seabed Geoacoustic Property,
RS(16), No. 12, 2024, pp. 2227.
DOI Link 2406
BibRef

Pan, X.H.[Xiao-He], Liu, M.Z.[Meng-Zhuo], Zhu, J.F.[Ji-Feng], Huo, L.P.[Li-Ping], Peng, Z.[Zheng], Liu, J.[Jun], Cui, J.H.[Jun-Hong],
RAP-MAC: A Robust and Adaptive Pipeline MAC Protocol for Underwater Acoustic String Networks,
RS(16), No. 12, 2024, pp. 2195.
DOI Link 2406
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Wu, H.R.[Hao-Ran], Zhou, F.[Fanyu], Xie, Z.M.[Zhi-Min], Tang, J.S.[Jing-Song], Zhong, H.P.[He-Ping], Zhang, J.[Jiafeng],
Two-Dimensional Space-Variant Motion Compensation Algorithm for Multi-Hydrophone Synthetic Aperture Sonar Based on Sub-Beam Compensation,
RS(16), No. 12, 2024, pp. 2144.
DOI Link 2406
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Yan, L.[Lu], Yang, J.[Juan], Xu, F.[Feng], Piao, S.[Shengchun],
Low-Sidelobe Imaging Method Utilizing Improved Spatially Variant Apodization for Forward-Looking Sonar,
RS(16), No. 12, 2024, pp. 2100.
DOI Link 2406
BibRef

Wen, X.[Xin], Wang, J.[Jian], Cheng, C.[Chensheng], Zhang, F.H.[Fei-Hu], Pan, G.[Guang],
Underwater Side-Scan Sonar Target Detection: YOLOv7 Model Combined with Attention Mechanism and Scaling Factor,
RS(16), No. 13, 2024, pp. 2492.
DOI Link 2407
BibRef

Pu, Z.J.[Zi-Jun], Zhang, Q.F.[Qun-Fei], Xue, Y.T.[Yang-Tao], Zhu, P.C.[Pei-Can], Cui, X.D.[Xiao-Dong],
A Novel Multi-Feature Fusion Model Based on Pre-Trained Wav2vec 2.0 for Underwater Acoustic Target Recognition,
RS(16), No. 13, 2024, pp. 2442.
DOI Link 2407
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Qiu, H.Y.[Hai-Yang], Tang, Y.J.[Yi-Jie], Wang, H.[Hui], Wang, L.[Lei], Xiang, D.[Dan], Xiao, M.M.[Ming-Ming],
An Improved Underwater Visual SLAM through Image Enhancement and Sonar Fusion,
RS(16), No. 14, 2024, pp. 2512.
DOI Link 2408
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Zhao, H.Y.[Hong-Yu], Chen, H.F.[Hui-Fang], Xie, L.[Lei],
SSH-MAC: Service-Aware and Scheduling-Based Media Access Control Protocol in Underwater Acoustic Sensor Network,
RS(16), No. 15, 2024, pp. 2718.
DOI Link 2408
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Ni, J.[Junshuai], Ji, F.[Fang], Lu, S.Q.[Shao-Qing], Feng, W.J.[Wei-Jia],
An Auditory Convolutional Neural Network for Underwater Acoustic Target Timbre Feature Extraction and Recognition,
RS(16), No. 16, 2024, pp. 3074.
DOI Link 2408
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Cui, Y.L.[Yong-Lin], Liao, S.H.[Shu-Han], Gao, J.C.[Jun-Cheng], Zhu, H.D.[Hai-Dong], Zhao, N.[Nengtong], Luo, A.[An],
Cascaded-Filter-Based Reverberation Suppression Method of Short-Pulse Continuous Wave for Active Sonar,
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DOI Link 2408
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Feng, S.[Sheng], Ma, S.Q.[Shu-Qing], Zhu, X.Q.[Xiao-Qian], Yan, M.[Ming],
Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey,
RS(16), No. 17, 2024, pp. 3333.
DOI Link 2409
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Gao, W.[Wei], Liu, Y.[Yining], Chen, D.[Desheng],
A Dual-Stream Deep Learning-Based Acoustic Denoising Model to Enhance Underwater Information Perception,
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Ning, M.Q.[Ming-Qiang], Zhong, H.P.[He-Ping], Tang, J.S.[Jin-Song], Wu, H.R.[Hao-Ran], Zhang, J.[Jiafeng], Zhang, P.[Peng], Ma, M.[Mengbo],
A Novel Chirp-Z Transform Algorithm for Multi-Receiver Synthetic Aperture Sonar Based on Range Frequency Division,
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DOI Link 2409
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Li, Y.Z.[Yu-Zheng], Gao, B.[Bo], Chen, Z.[Zhuo], Yu, Y.[Yueqi], Wang, Z.[Zhennan], Gao, D.[Dazhi],
Target Motion Parameters Estimation by Full-Plane Hyperbola-Warping Transform with a Single Hydrophone,
RS(16), No. 17, 2024, pp. 3307.
DOI Link 2409
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Wang, W.D.[Wei-Dong], Ma, L.[Linya], Shi, W.T.[Wen-Tao], Ali, W.[Wasiq],
Robust Underwater Direction-of-Arrival Estimation Method Using Acoustic Sensor Array under Unknown Swing Deviation Elements,
RS(16), No. 19, 2024, pp. 3634.
DOI Link 2410
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Nga, Y.Z.[Yan Zun], Rymansaib, Z.[Zuhayr], Treloar, A.A.[Alfie Anthony], Hunter, A.[Alan],
Automated Recognition of Submerged Body-like Objects in Sonar Images Using Convolutional Neural Networks,
RS(16), No. 21, 2024, pp. 4036.
DOI Link 2411
BibRef

Liu, Y.H.[Yu-Han], Negahdaripour, S.[Shahriar],
Ghost Removal from Forward-Scan Sonar Views near the Sea Surface for Image Enhancement and 3-D Object Modeling,
RS(16), No. 20, 2024, pp. 3814.
DOI Link 2411
BibRef

Lü, Z.C.[Zhi-Chao], Shi, Y.Q.[Ya-Qian], Lü, L.[Liangang], Han, D.[Dongyue], Wang, Z.K.[Zheng-Kai], Yu, F.[Fei],
Dual-Feature Fusion Learning: An Acoustic Signal Recognition Method for Marine Mammals,
RS(16), No. 20, 2024, pp. 3823.
DOI Link 2411
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Ko, S.[Sunyoung], Shin, M.[Myoungin], Kim, G.[Geunhwan], Choo, Y.[Youngmin],
System-Informed Neural Network for Frequency Detection,
SPLetters(31), 2024, pp. 2980-2984.
IEEE DOI 2411
Training, Linear systems, Frequency estimation, Signal to noise ratio, Artificial neural networks, system-informed neural network BibRef

Wang, W.[Wen], Zhang, Y.F.[Yi-Fan], Li, H.[Houpu], Kang, Y.X.[Yi-Xin], Liu, L.[Lei], Chen, C.[Cheng], Zhai, G.J.[Guo-Jun],
A novel target detection method with dual-domain multi-frequency feature in side-scan sonar images,
IET-IPR(18), No. 13, 2024, pp. 4168-4188.
DOI Link Code:
WWW Link. 2411
frequency domain, seabed object, side-scan sonar images, target detection BibRef

Zhu, J.F.[Ji-Feng], Cai, W.Y.[Wen-Yu], Zhang, M.Y.[Mei-Yan], Lin, Y.X.[Yu-Xin], Liu, M.M.[Ming-Ming],
Saliency detection for underwater moving object with sonar based on motion estimation and multi-trajectory analysis,
PR(158), 2025, pp. 111043.
Elsevier DOI 2411
Underwater moving object, Forward looking sonar, Trajectory analysis, Salient object detection, Optical flow field BibRef

Chen, G.Q.[Gang-Qi], Mao, Z.[Zhaoyong], Shen, J.[Junge],
Advanced Object Detection in Multibeam forward-Looking Sonar Images Using Linear Cross-Attention Techniques,
ICIP24(1026-1031)
IEEE DOI 2411
Deformable models, Attention mechanisms, Deformation, Computational modeling, Sonar, Object detection, feature fusion BibRef

Honma, J.[Junpei], Kimura, A.[Akisato], Irie, G.[Go],
Estimating Indoor Scene Depth Maps from Ultrasonic Echoes,
ICIP24(2069-2073)
IEEE DOI 2411
Training, Accuracy, Ultrasonic imaging, Ultrasonic variables measurement, Estimation, Solids, ultrasonic echoes BibRef

Senjaliya, F.[Femina], Cote, M.[Melissa], Dash, A.[Amanda], Albu, A.B.[Alexandra Branzan], Niemi, A.[Andrea], Gauthier, S.[Stéphane], Chawarski, J.[Julek], Pearce, S.[Steve], Ersahin, K.[Kaan], Borg, K.[Keath],
Deep Learning-Based Identification of Arctic Ocean Boundaries and Near-Surface Phenomena in Underwater Echograms,
PBVS24(2977-2986)
IEEE DOI 2410
Surveys, Sea surface, Analytical models, Biological system modeling, Semantic segmentation, Arctic, sea surface boundaries BibRef

Chakravarthula, P.[Praneeth], d'Souza, J.A.[Jim Aldon], Tseng, E.[Ethan], Bartusek, J.[Joe], Heide, F.[Felix],
Seeing With Sound: Long-Range Acoustic Beamforming for Multimodal Scene Understanding,
CVPR23(982-991)
IEEE DOI 2309
BibRef

Vohra, R.[Rhythm], Senjaliya, F.[Femina], Cote, M.[Melissa], Dash, A.[Amanda], Albu, A.B.[Alexandra Branzan], Chawarski, J.[Julek], Pearce, S.[Steve], Ersahin, K.[Kaan],
Detecting Underwater Discrete Scatterers in Echograms with Deep Learning-Based Semantic Segmentation,
PBVS23(375-384)
IEEE DOI 2309
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Ard, W.[William], Barbalata, C.[Corina],
Sonar Image Composition for Semantic Segmentation Using Machine Learning,
Maritime23(248-254)
IEEE DOI 2302
Computational modeling, Semantic segmentation, Conferences, Sonar applications, Merging, Machine learning BibRef

Preciado-Grijalva, A.[Alan], Wehbe, B.[Bilal], Firvida, M.B.[Miguel Bande], Valdenegro-Toro, M.[Matias],
Self-supervised Learning for Sonar Image Classification,
LXCV22(1498-1507)
IEEE DOI 2210
Transfer learning, Supervised learning, Noise reduction, Sonar, Self-supervised learning, Image representation BibRef

Berg, H.[Henrik], Hjelmervik, K.T.[Karl Thomas],
Deep Learning on Active Sonar Data Using Bayesian Optimization for Hyperparameter Tuning,
ICPR21(6546-6553)
IEEE DOI 2105
Training, Deep learning, Sonar, Bayes methods, Topology, Optimization, deep learning, hyperparameters, active sonar BibRef

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IEEE DOI 2104
Target tracking, Robot sensing systems, Acoustics, Mobile agents, Microphones, Acoustic target tracking, microphone arrays, sparse sensor networks BibRef

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Springer DOI 2011
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Recognition Method for Underwater Acoustic Target Based on DCGAN and DenseNet,
ICIVC20(215-221)
IEEE DOI 2009
Kernel, Underwater acoustics, Time-frequency analysis, Training, Target recognition, Machine learning, DenseNet BibRef

Ma, Q., Jiang, L., Yu, W., Jin, R., Wu, Z., Xu, F.,
Training with Noise Adversarial Network: A Generalization Method for Object Detection on Sonar Image,
WACV20(718-727)
IEEE DOI 2006
Sonar detection, Detectors, Perturbation methods, Training, Object detection, Task analysis BibRef

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Acoustic Non-Line-Of-Sight Imaging,
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Febriawan, H.K., Helmholz, P., Parnum, I.M.,
Support Vector Machine and Decision Tree Based Classification Of Side-scan Sonar Mosaics Using Textural Features,
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Performance Prediction of Multichannel Coherence Detector for Sonar Imagery,
ICIP19(3960-3964)
IEEE DOI 1910
Multichannel coherence detector, generalized likelihood ratio test (GLRT), Sonar Imagery BibRef

Zhang, Z.P.[Zhong-Ping], Wu, Y.[Yue], Zhou, Z.[Zheng], Lin, Y.Z.[You-Zuo],
VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks,
WACV19(705-714)
IEEE DOI 1904
geophysical image processing, geophysical techniques, inverse problems, learning (artificial intelligence), Kernel BibRef

Chen, W., Yuan, F., Cheng, E., Lin, W.,
Subjective and objective quality evaluation of sonar images for underwater acoustic transmission,
ICIP17(176-180)
IEEE DOI 1803
Acoustic distortion, Entropy, Indexes, Sonar measurements, Sonar image, database, human visual system, quality assessment, underwater acoustic transmission BibRef

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A real-time object recognition for forward looking sonar,
ICIVC17(58-61)
IEEE DOI 1708
Feature extraction, Filtering algorithms, Image segmentation, Object detection, Object recognition, Sonar detection, correlation matching, forward looking sonar image, target detection, target-like, templet BibRef

Zhan, Q.W.[Qi-Wei], Ren, Q.A.[Qi-Ang], Sun, Q.T.[Qing-Tao], Chen, H.[Hua], Liu, Q.H.[Qing Huo],
Isotropic Riemann Solver for a Nonconformal Discontinuous Galerkin Pseudospectral Time-Domain Algorithm,
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Design of a pseudo-holographic distributed time-of-flight sonar range-imaging system,
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Holographic optical components BibRef

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Assessment Of A Static Multibeam Sonar Scanner For 3d Surveying In Confined Subaquatic Environments,
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A Bayesian Sparse Inference Approach in near-field wideband aeroacoustic imaging,
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Laplace-Beltrami eigenfunction metrics and geodesic shape distance features for shape matching in synthetic aperture sonar,
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Non-cooperative Object Detection in Sea Using Acoustic Sensors,
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Echo-to-interference ratio of bistatic sonar in shallow water,
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A New Approach to Underwater Target Recognition,
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Application Research of the Page Test in Active Sonar Detection,
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Gao, C.Z.[Cheng-Zhi], Zhuang, J.P.[Jia-Ping], Tai, L.D.[Lu-Dong],
Underwater Acoustic Channel Blind Identification Based on Matrix Outer-Product Decomposition Algorithm,
CISP09(1-4).
IEEE DOI 0910
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Liu, J.[Jia], Li, X.K.[Xiu-Kun], Ma, T.[Tao], Piao, S.C.[Sheng-Chun], Ren, Q.Y.[Qun-Yan],
An Improved Hilbert-Huang Transform and its Application in Underwater Acoustic Signal Detection,
CISP09(1-5).
IEEE DOI 0910
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Mei, J.D.[Ji-Dan], Wang, Y.L.[Yi-Lin], Zhou, W.[Wei], Hui, J.Y.[Jun-Ying],
Research on the Three-Dimensional Underwater Acoustic Image Measurement Technology Using Planar Array,
CISP09(1-3).
IEEE DOI 0910
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Zhang, J.[Jitang],
Research of Fuzzy Pattern Recognition on Ultrasonic Image Diagnoses of Multi-Layered Adhesive Structure in Solid Rocket Motor,
CISP09(1-5).
IEEE DOI 0910
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Fan, D.[Di], Cao, M.Y.[Mao-Yong], Sun, N.L.[Nong-Liang], Lv, C.Z.[Chang-Zhi], Zhao, Q.Z.[Qing-Zhu],
Locating the Ultrasonic Echo Head Wave of Bottom Sediment in Drilling Hole Based on Local SNR,
CISP09(1-4).
IEEE DOI 0910
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Xiao-Hua, Z.[Zhu], Hong, Z.[Zheng],
Design and Field Experiment of the Coastal Acoustic Tomography,
CISP09(1-5).
IEEE DOI 0910
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Zhou, S.[Sheng], Zhang, L.[Lin], Yang, P.[Peng],
Design of Chaotic Waveforms for Application to Active Sonar,
CISP09(1-5).
IEEE DOI 0910
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Zhang, T.D.[Tie-Dong], Wan, L.[Lei], Chen, Y.[Yan], Li, D.Q.[Dong-Qi],
Object Track in Underwater Sonar Images,
CISP09(1-4).
IEEE DOI 0910
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Yang, C.S.[Chang-Sheng], Liang, H.[Hong], Chen, H.[Hang], Ma, Y.[Yan],
Wideband Sonar Signal Design for Moving Target Parameter Estimation,
CISP09(1-3).
IEEE DOI 0910
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Kim, K.[Kio], Neretti, N.[Nicola], Intrator, N.[Nathan],
Video Enhancement for Underwater Exploration Using Forward Looking Sonar,
ACIVS06(554-563).
Springer DOI 0609
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Negahdaripour, S., Firoozfam, P., Sabzmeydani, P.,
On Processing and Registration of Forward-Scan Acoustic Video Imagery,
CRV05(452-459).
IEEE DOI 0505
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Loke, R.E., du Buf, J.M.H.,
Small CPU times and fast interactivity in sonar seabottom surveys,
3DPVT04(844-851).
IEEE DOI 0412
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Bozzano, R.[Roberto], Siccardi, A.[Antonio],
Underwater vegetation detection in high frequency sonar images: A preliminary approach,
CIAP97(II: 576-583).
Springer DOI 9709
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Pieroni, G.G.[Goffredo G.], Foresti, G.L.[Gian Luca], Murino, V.[Vittorio],
Integration of optical and acoustical imaging sensors for underwater applications,
CIAP97(II: 749-756).
Springer DOI 9709
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di Martino, J.C., Tabbone, S.A.[Salvatore A.],
Detection of Lofar lines,
CIAP95(709-714).
Springer DOI 9509
Find spectral lines in Sonar. BibRef

Tesei, A.[Alessandra], Trucco, A.[Andrea], Zambonini, D.[Daniele],
A fast object orientation estimation and recognition technique for underwater acoustic imaging,
CIAP95(715-720).
Springer DOI 9509
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Zerr, B., Stage, B.,
Three-dimensional reconstruction of underwater objects from a sequence of sonar images,
ICIP96(III: 927-930).
IEEE DOI 9610
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Ochieng-Ogolla, E.,
Space-time analysis and iterative focusing for synthetic aperture sonar,
ICIP96(III: 931-934).
IEEE DOI 9610
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Haley, T.B.,
Applying neural networks to automatic active sonar classification,
ICPR90(II: 41-44).
IEEE DOI 9208
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Chen, C.H.,
Neural networks for active sonar classification,
ICPR92(II:438-440).
IEEE DOI 9208
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Silkaitis, J.M., Douglas, B.L., Lee, H.,
A cascade algorithm for estimating and compensating motion error for synthetic aperture sonar imaging,
ICIP94(I: 905-909).
IEEE DOI 9411
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Silkaitis, J.M., Lee, H.,
Spectral segmentation and multiple frequency-band tomographic backward propagation technique for high-resolution sonar imaging,
ICIP95(II: 457-460).
IEEE DOI 9510
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Sonar for Communication, Underwater Communication .

Last update:Nov 26, 2024 at 16:40:19