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 |
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10 h 15 – 10 h 45 |
Coffee Break |
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Session 1 – Proud Target Recognition |
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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 |
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11 h 05 – 11 h 25 |
Sonar Image Segmentation for Online MCM Missions Using Discrete Active Contours without Edges B. Lehmann, D. Kraus |
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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 |
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Session 2 – Buried target detection |
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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, |
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12 h 05 – 12 h 25 |
Detection and classification of underwater targets by magnetic gradiometry – Y. Yvinec , P. Druyts, Y. Dupont |
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12 h 30 |
Lunch |
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Session 3 – Proud object detection |
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14 h 00 – 14 h 20 |
An Expectation-Maximization Approach Applied to Underwater Target Detection – Tai Fei and Dieter Kraus |
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14 h 20 – 14 h 40 |
Anomaly detection in Sonar Imagery – Y. Petillot & N. Valeyrie |
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14 h 40 – 15 h 00 |
Cascade classifiers for underwater target detection in SAS imagery – Y. Petillot & J.l Sawas |
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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 |
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15 h 20 – 15 h 50 |
Coffee Break |
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Session 4 – ATR – classification |
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15 h 50 – 16 h 10 |
Multi-view classification with the Mixture-of-experts model H. Midelfart & Ø. Midtgaard |
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16 h 10 – 16 h 30 |
Time and Frequency-Domain Features for Target Specific Recognition with Synthetic Aperture Sonar Data – Jason C. Isaacs |
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16 h 30 – 16 h 50 |
SAS and Bathymetric Data Fusion for Improved Target Classification – David P. Williams |
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16 h 50 – 17 h 10 |
Unsupervised sea-floor classification for automatic target recognition – O.Daniel, S.Reed,Y.Petillot |
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18 H 15 |
Cocktail at OCEANOPOLIS |
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10 October |
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Session 5 – Survey and MCM operations |
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9 H 00 – 9 H 20 |
SITAR: A Modular System for Automatic Target Recognition in Side-looking Sonar Imagery Ø.Midtgaard & H. Midelfart |
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9 h 20 – 9 h 40 |
ATR: An Enabler for multi-vehicle autonomous MCM operations S Reed, J Vazquez, P Patron, O Daniell |
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9 h 40 – 10 h 00 |
Performance Assessment of an Adaptive AUV Survey M. Couillard & D. P Williams |
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10 h 00 – 10 h 20 |
Automatic target recognition for improved unmanned underwater vehicle navigation experimental results J. Dubberley |
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10 h 20 – 10 h 50 |
Coffee Break |
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Session 6 – Posters |
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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 |
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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. |
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Robust Vision based detection and tracking of underwater pipelines for AUVs D Goyal, K R Shetti, T Bretschneider |
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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 |
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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 |
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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. |
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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 |
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Session 7 – Change detection |
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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 |
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11 h 40 – 12 h 00 |
Change Detection for MCM survey missions J. Ferrand, N. Mandelert Thales Underwater Systems, France |
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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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