Machine learning and image processing methods for acoustic seafloor mapping and classification
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- Institutt for informatikk [4933]
Abstract
No abstract.List of papers
I. Ellen Johanne Eidem and Knut Landmark, “Acoustic seabed classification using QTC IMPACT on single-beam echo sounder data from the Norwegian Channel, northern North Sea”, Continental Shelf Research, vol. 68, pp. 1–14, Oct. 2013. Author version. © 2013 Elsevier Ltd. https://doi.org/10.1016/j.csr.2013.08.001 |
II. Knut Landmark, Anne H. Schistad Solberg, Andreas Austeng, and Roy Edgar Hansen, “Bayesian seabed classification using angle-dependent backscatter data from multibeam echo sounders”, IEEE Journal of Oceanic Engineering, vol. 39, no. 4, pp. 724–739, Oct. 2014. © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” https://doi.org/10.1109/JOE.2013.2281133 |
III. Knut Landmark, Anne H. Schistad Solberg, Fritz Albregtsen, Andreas Austeng, and Roy Edgar Hansen, “A Radon-transform-based image noise filter — with applications to multibeam bathymetry”, IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 11, pp. 6252–6273, Nov. 2015 © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” https://doi.org/10.1109/TGRS.2015.2436380 |