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Akademický článek

Fusion of Local Statistical Parameters for Buried Underwater Mine Detection in Sonar Imaging

Autor: M. Amate, A. Hétet, J. Chanussot, M. Rombaut, F. Maussang

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)

Detection of buried underwater objects, and especially mines, is a current crucial strategic task. Images provided by sonar systems allowing to penetrate in the sea floor, such as the synthetic aperture sonars (SASs), are of great interest for the de

Externí odkaz: https://doaj.org/article/ce4b3fca9db0420a951a4b499ea4bd42

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Akademický článek

Higher-Order Statistics for the Detection of Small Objects in a Noisy Background Application on Sonar Imaging

Autor: M. Amate, A. Hétet, J. Chanussot, F. Maussang

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)

An original algorithm for the detection of small objects in a noisy background is proposed. Its application to underwater objects detection by sonar imaging is addressed. This new method is based on the use of higher-order statistics (HOS) that are l

Externí odkaz: https://doaj.org/article/3f00252292624c93ba29f395605c9b47

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From statistical detection to decision fusion : detection of underwater mines in high resolution SAS images

Autor: M. Amate, F. Maussang, Jocelyn Chanussot, Michèle Rombaut

Publikováno v: Advances in Sonar Technology
Sergio Rui Silva,. Advances in Sonar Technology, IN-TECH (Open Acces Book), pp.111-150, 2009
Advances in Sonar Technology, edited by Sergio Rui Silva
Advances in Sonar Technology, edited by Sergio Rui Silva, In-Tech, pp.111-150, 2009, 978-3-902613-48-6

Among all the applications proposed by sonar systems is underwater demining. Indeed, even if the problem is less exposed than the terrestrial equivalent, the presence of underwater mines in waters near the coast an d particularly the harbours provoke

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1f1f0cfba264ac78717c1a08f425445
https://hal.archives-ouvertes.fr/hal-02118475

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Mean / standard deviation representation of sonar images for echo detection : application to SAS images

Autor: M. Amate, J. Chanussot, F. Maussang, Alain Hétet

Publikováno v: IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering, Institute of Electrical and Electronics Engineers, 2007, 32 (4), pp.956-970. ⟨10.1109/JOE.2007.907936⟩

International audience; This paper addresses the detection of underwater mines echoes with application to synthetic aperture sonar (SAS)imaging. A detection method based on local first- and second-order statistical properties of the sonar images is p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73cd31433495faaeb2659c05f64ad8be
https://hal.archives-ouvertes.fr/hal-02314977

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Adaptive anisotropic diffusion for speckle filtering in SAS imagery

Autor: M. Amate, F. Maussang, Jocelyn Chanussot, S.C. Visan

Publikováno v: IEEE / OES Oceans 2005 Europe conference
IEEE / OES Oceans 2005 Europe conference, 2005, Brest, France

International audience; Thanks to their high resolution, the images provided by synthetic aperture sonar (SAS) are of great interest for the detection and classification of underwater mines lying on the sea bed or buried in the sea floor. As with any

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f37c3744feffeb5f1d705ece92f9579
https://doi.org/10.1109/oceanse.2005.1511730

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Buried mines detection and classification: advanced technologies and signal processing

Autor: Alain Hétet, M. Amate, Jocelyn Chanussot, S. Guyonic, M. Legris, R. Bellec, F. Maussang, Pierre Cervenka, Jacques Marchal

Publikováno v: IEEE / OES Oceans'05 Europe conference
IEEE / OES Oceans'05 Europe conference, 2005, Brest, France

International audience; In order to improve the Mine Countermeasures capability, there is a need to investigate new techniques which will enable the detection, localisation and classification of buried mines. This paper deals with results obtained in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70b06be0786e661c10da18883ef1a64c
https://hal.archives-ouvertes.fr/hal-00069636

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Fusion of Local Statistical Detectors in SAS Imagery Classification

Autor: Jocelyn Chanussot, Michèle Rombaut, F. Maussang, Alain Hétet

Publikováno v: IEEE / OES Oceans 2005 Europe conference
IEEE / OES Oceans 2005 Europe conference, 2005, Brest, France

International audience; Detection of underwater mines is a present crucial strategic task. The images provided by Synthetic Aperture Sonar (SAS) are then of great interest for the detection and classification of objects lying on the sea floor or buri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73773c474d3ed23e2fef41ee69bf5352
https://hal.archives-ouvertes.fr/hal-00069627

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Automated segmentation of SAS images using the mean - standard deviation plane for the detection of underwater mines

Autor: Alain Hétet, Jocelyn Chanussot, F. Maussang

Publikováno v: Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

A segmentation method of synthetic aperture sonar (SAS) images is presented, in order to highlight some characteristics (number, position, shape, ...) of underwater mines echoes. This segmentation method is based on statistical characteristics of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5584589c46e8fdac9bf4cdb768bcc846
https://doi.org/10.1109/oceans.2003.178236

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