Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak

Autor: Oscar Bryan, Roy Edgar Hansen, Tom S. F. Haines, Narada Warakagoda, Alan Hunter

Publikováno v: Remote Sensing, Vol 14, Iss 11, p 2619 (2022)

The disposal of unexploded ordnance (UXOs) at sea is a global problem. The mapping and remediation of historic UXOs can be assisted by autonomous underwater vehicles (AUVs) carrying sensor payloads such as synthetic aperture sonar (SAS) and optical c

Externí odkaz: https://doaj.org/article/2d42ad5327fa44818283b6426ae2c400

Point detection in textured ultrasound images

Autor: Stine Hverven Thon, Andreas Austeng, Roy Edgar Hansen

Detection of point scatterers in textured ultrasound images can be challenging. This paper investigates how four multilook methods can improve the detection. We analyze many images with known point scatterer locations and randomly textured background

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66252071db5177235262f0d8269ea309
http://hdl.handle.net/10852/102416

Automatic recognition of underwater munitions from multi-view sonar surveys using semi supervised machine learning: a simulation study

Autor: Oscar Bryan, Tom S. F. Haines, Alan Hunter, Roy Edgar Hansen, Narada Warakagoda

Publikováno v: Bryan, O, Hunter, A J, Haines, T S F, Hansen, R E & Warakagoda, N 2022, ' Automatic recognition of underwater munitions from multi-view sonar surveys using semi supervised machine learning: a simulation study ', Proceedings of Meetings on Acoustics, vol. 47, no. 1, 070018 . https://doi.org/10.1121/2.0001632

This paper presents a machine learning technique for using large unlabelled survey datasets to aid automatic classification. We have demonstrated the benefit of this technique on a simulated synthetic aperture sonar (SAS) dataset. We designed a machi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f2eae09e3cf7661724b438f656862b1
https://purehost.bath.ac.uk/ws/files/265031399/ICUA_2022_author_accepted_version.pdf

Modeling the effect of random roughness on synthetic aperture sonar image statistics

Autor: Roy Edgar Hansen, Derek Olson, Anthony Lyons

Publikováno v: The Journal of the Acoustical Society of America. 152(3)

A model has been developed to predict the effect of random seafloor roughness on synthetic aperture sonar (SAS) image statistics, based on the composite roughness approximation–a physical scattering model. The continuous variation in scattering str

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::980d37b923ca1efc67740add7f52d642
https://pubmed.ncbi.nlm.nih.gov/36182318

Synthetic Aperture Sonar Track Registration With Motion Compensation for Coherent Change Detection

Autor: Vincent Myers, Roy Edgar Hansen, Isabelle Quidu, Torstein Olsmo Sabo, Benoit Zerr

Publikováno v: IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering, Institute of Electrical and Electronics Engineers, 2020, 45 (3), pp.1045-1062. ⟨10.1109/JOE.2019.2909960⟩

The capability to detect changes in an underwater scene has many applications, including environmental monitoring, surveillance of strategic maritime waterways, and naval mine countermeasures. This paper examines the automated detection of changes in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::366d587d69b896610cc20c03f084eab7
https://doi.org/10.1109/joe.2019.2909960