Classification of underwater targets from autonomous underwater vehicle sampled bistatic acoustic scattered fields

Erin M. Fischell; Henrik Schmidt

doi:10.1121/1.4938017

Classification of underwater targets from autonomous underwater vehicle sampled bistatic acoustic scattered fields

The Journal of the Acoustical Society of America ◽

10.1121/1.4938017 ◽

2015 ◽

Vol 138 (6) ◽

pp. 3773-3784 ◽

Cited By ~ 21

Author(s):

Erin M. Fischell ◽

Henrik Schmidt

Keyword(s):

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Underwater Targets ◽

Scattered Fields

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Use of supervised machine learning for real-time classification of underwater targets using Autonomous Underwater Vehicle sampled bistatic acoustic scattered fields

The Journal of the Acoustical Society of America ◽

10.1121/1.4877549 ◽

2014 ◽

Vol 135 (4) ◽

pp. 2296-2296

Author(s):

Erin M. Fischell ◽

Henrik Schmidt

Keyword(s):

Machine Learning ◽

Real Time ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Supervised Machine Learning ◽

Underwater Targets ◽

Scattered Fields ◽

Real Time Classification

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Magnetic scalar triangulation and ranging system for autonomous underwater vehicle based defection, localization and classification of magnetic mines

Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600) ◽

10.1109/oceans.2004.1405589 ◽

2005 ◽

Cited By ~ 3

Author(s):

R.F. Wiegert ◽

J.W. Purpura

Keyword(s):

Autonomous Underwater Vehicle ◽

Underwater Vehicle

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Characterization of underwater target geometry from Autonomous Underwater Vehicle sampling of bistatic acoustic scattered fields

10.1575/1912/7216 ◽

2015 ◽

Cited By ~ 1

Author(s):

Erin M. Fischell

Keyword(s):

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Underwater Target ◽

Scattered Fields

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Estimation of cylinder orientation using autonomous underwater vehicle mapping of bistatic scattered fields

The Journal of the Acoustical Society of America ◽

10.1121/1.4934173 ◽

2015 ◽

Vol 138 (3) ◽

pp. 1949-1949

Author(s):

Erin M. Fischell ◽

Henrik Schmidt

Keyword(s):

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Scattered Fields

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Autonomous Underwater Vehicle-Based Concurrent Detection and Classification of Buried Targets Using Higher Order Spectral Analysis

IEEE Journal of Oceanic Engineering ◽

10.1109/joe.2006.872216 ◽

2006 ◽

Vol 31 (1) ◽

pp. 188-199 ◽

Cited By ~ 6

Author(s):

M. Montanari ◽

J.R. Edwards ◽

H. Schmidt

Keyword(s):

Spectral Analysis ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Higher Order

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Do marine substrates ‘look’ and ‘sound’ the same? Supervised classification of multibeam acoustic data using autonomous underwater vehicle images

Estuarine Coastal and Shelf Science ◽

10.1016/j.ecss.2012.11.001 ◽

2013 ◽

Vol 117 ◽

pp. 94-106 ◽

Cited By ~ 70

Author(s):

Vanessa Lucieer ◽

Nicole A. Hill ◽

Neville S. Barrett ◽

Scott Nichol

Keyword(s):

Supervised Classification ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Acoustic Data

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Spectral feature classification of oceanographic processes using an autonomous underwater vehicle

10.1575/1912/4084 ◽

2000 ◽

Cited By ~ 3

Author(s):

Yanwu Zhang

Keyword(s):

Autonomous Underwater Vehicle ◽

Spectral Feature ◽

Underwater Vehicle ◽

Feature Classification

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Application of fusion algorithms for computer-aided detection and classification of bottom mines to shallow water test data from the battle space preparation autonomous underwater vehicle (BPAUV)

10.1117/12.487581 ◽

2003 ◽

Cited By ~ 1

Author(s):

Charles M. Ciany ◽

William Zurawski ◽

Gerald J. Dobeck

Keyword(s):

Shallow Water ◽

Test Data ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Computer Aided Detection ◽

Computer Aided ◽

Water Test

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Spectral-feature classification of oceanographic processes using an autonomous underwater vehicle

IEEE Journal of Oceanic Engineering ◽

10.1109/48.972115 ◽

2001 ◽

Vol 26 (4) ◽

pp. 726-741 ◽

Cited By ~ 23

Author(s):

Yanwu Zhang ◽

A.B. Baggeroer ◽

J.G. Bellingham

Keyword(s):

Autonomous Underwater Vehicle ◽

Spectral Feature ◽

Underwater Vehicle ◽

Feature Classification

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Autonomous Underwater Vehicle Actuators Health Monitoring for Smart Harbour Application

2020 5th International Conference on Smart and Sustainable Technologies (SpliTech) ◽

10.23919/splitech49282.2020.9243818 ◽

2020 ◽

Author(s):

P. Castaldi ◽

M. Menghini ◽

L. De Marchi ◽

S. Simani

Keyword(s):

Health Monitoring ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle

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