Program – DCUT

Program – DCUT


Detection and Classification of Underwater Targets

PROGRAM

9 October

8 h 00 – 9 h 00 Registration
9 h 00 – 9 h 15 DCUT Opening
9 h 15 – 10 h 15 Plenary talk
Automatic Target Recognition methods for sidescan sonar images: the advances and the challenges
by John A. Fawcett – Defence R&D Canada
10 h 15 – 10 h 45 Coffee Break
Session 1 – Proud Target Recognition
10 h 45 – 11 h 05 Target Detection in Sonar Images with a Shape Prior Driven Level Set Method.
D. Köhntopp, B. Lehmann, K. Siantidis, D. Trede
11 h 05 – 11 h 25 Sonar Image Segmentation for Online MCM Missions Using
Discrete Active Contours without Edges
B. Lehmann, D. Kraus
11 h 25 – 11 h 45 Laplace-Beltrami Eigenfunction Metrics and Geodesic Shape Distance Features for Shape Recognition in Synthetic Aperture Sonar – J. C. Isaacs
Session 2 – Buried target detection
11 h 45 – 12 h 05 Detection of seabed objects using ground penetrating radar and electromagnetic continuous wave sensor
by U. Puc, A. Abin, A. Jeglič, P. Cevc, A. Zidanšeka,
12 h 05 – 12 h 25 Detection and classification of underwater targets by magnetic gradiometry – Y. Yvinec , P. Druyts, Y. Dupont
12 h 30 Lunch
Session 3 – Proud object detection
14 h 00 – 14 h 20 An Expectation-Maximization Approach Applied to Underwater Target Detection – Tai Fei and Dieter Kraus
14 h 20 – 14 h 40 Anomaly detection in Sonar Imagery – Y. Petillot & N. Valeyrie
14 h 40 – 15 h 00 Cascade classifiers for underwater target detection in SAS imagery – Y. Petillot & J.l Sawas
15 h 00 – 15 h 20 Acoustic scattering of a straight groove on a metal plate immersed in water at low frequency: detection and positioning. G. Maze, F. Léon, D. Décultot, F. Chati, Y. Sidibé, F. Druaux, D. Lefebvre
15 h 20 – 15 h 50 Coffee Break
Session 4 – ATR – classification
15 h 50 – 16 h 10 Multi-view classification with the Mixture-of-experts model
H. Midelfart & Ø. Midtgaard
16 h 10 – 16 h 30 Time and Frequency-Domain Features for Target Specific Recognition with Synthetic Aperture Sonar Data – Jason C. Isaacs
16 h 30 – 16 h 50 SAS and Bathymetric Data Fusion for Improved Target Classification – David P. Williams
16 h 50 – 17 h 10 Unsupervised sea-floor classification for automatic target recognition – O.Daniel, S.Reed,Y.Petillot
18 H 15 Cocktail at OCEANOPOLIS

10 October
Session 5 – Survey and MCM operations
9 H 00 – 9 H 20 SITAR: A Modular System for Automatic Target Recognition in
Side-looking Sonar Imagery
Ø.Midtgaard & H. Midelfart
9 h 20 – 9 h 40 ATR: An Enabler for multi-vehicle autonomous MCM operations
S Reed, J Vazquez, P Patron, O Daniell
9 h 40 – 10 h 00 Performance Assessment of an Adaptive AUV Survey
M. Couillard & D. P Williams
10 h 00 – 10 h 20 Automatic target recognition for improved unmanned underwater vehicle navigation experimental results
J. Dubberley
10 h 20 – 10 h 50 Coffee Break
Session 6 – Posters
10 h 40 – 11 h 20 Acoustic radiation of a fluid loaded, finite cylindrical shell in low frequency
J. Van de Loock, D. Décultot, N. Cité, F. Leon, F. Chati, D.R. Rajaona, G. Maze, A. Klauson
Multi-frequency sonar data analysis: application to the deep-sea wreckage search of the Airbus AF447 airplane (Mid-Atlantic Ridge region)
Dupré S., Loubrieu B., Pierre D., Léon P., R. Guillou, Purcell M., Packard G., Sherrell A., Ferrante O.
Robust Vision based detection and tracking of underwater pipelines for AUVs
D Goyal, K R Shetti, T Bretschneider
Improvement of automatic man-made object detection in underwater videos by use of navigational information
I. Léonard 1, A. Arnold-Bos 2, A. Alfalou 1
(1) ISEN, France, (2) Thales Underwater Systems,France
Echo Based Classification Method of Underwater Mine Like Objects in Sidescan Sonar Images
A. Elbergui 1, I. Quidu 1, B. Zerr 1 & B. Solaiman 2
(1) ENSTA Bretagne, (2) Telecom Bretagne
A*-Search Image Segmentation algorithm for
Mine-like Objects Segmentation in SONAR images
I. Aleksi (1), B. Lehmann (2), D. Kraus (3), ´. Hocenski (1)
(1) Faculty of Electrical Engineering, University of Osijek, Croatia, (2) ATLAS ELEKTRONIK Germany, (3) Hochschule Bremen, University of Applied Sciences, Germany.
Robust vision based detection and tracking.
D. Goyal (1), K. R Shetti (2), T. Bretschneider (2)(1) Department of Mechanical Engineering, National University of Singapore, Singapore, (2) EADS Innovation Works, Singapore
Session 7 – Change detection
11 h 20 – 11 h 40 Detection of mine-like objects and change detection using sonar imagery from autonomous underwater vehicles
P. Chapple, A. Gong, S. Anstee & W. Zhou
Defence Science & Technology Organisation, Australia
11 h 40 – 12 h 00 Change Detection for MCM survey missions
J. Ferrand, N. Mandelert
Thales Underwater Systems, France
12 h 00 – 12 h 20 Subpixel image co-registration for detecting coherent changes in high resolution sonar images
I. Quidu (1), V. Myers (2), Ø. Midtgaard (3) and R. Hansen (3)
(1) ENSTA Bretagne, Defence R&D Canada, (3) Norwegian Defence Research Establishment (FFI), Norway

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