Results 11 to 20 of about 50,747 (268)
Lambert’s Cosine Law and Sidescan Sonar Modeling
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043), 2020 When a planar surface area reflects diffusely, the reflected rays have a distribution of directions as opposed to specular reflection which is in a single direction. Ideal diffuse reflection, aka Lambertian reflection, has equal reflected energy at all angles away from the plane.
Folkesson, John +2 more
openaire +4 more sources
A method to quantify bedform height and asymmetry from a low-mounted sidescan sonar [PDF]
, 2018 Author Posting. © American Meteorological Society, 2018. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution.
Jones, Katie R., Traykovski, Peter A.
core +2 more sources
Evaluation of a Canonical Image Representation for Sidescan Sonar [PDF]
Oceans, 2023 Acoustic sensors play an important role in autonomous underwater vehicles (AUVs). Sidescan sonar (SSS) detects a wide range and provides photo-realistic images in high resolution. However, SSS projects the 3D seafloor to 2D images, which are distorted by
Weiqi Xu +4 more
semanticscholar +1 more source
Neural Network Normal Estimation and Bathymetry Reconstruction From Sidescan Sonar [PDF]
IEEE Journal of Oceanic Engineering, 2022 Sidescan sonar intensity encodes information about changes in the surface normal of the seabed. However, other factors such as seabed geometry as well as its material composition also affect the return intensity.
Yiping Xie, Nils Bore, J. Folkesson
semanticscholar +1 more source
High-Resolution Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks [PDF]
arXiv.org, 2022 We propose a novel data-driven approach for high-resolution bathymetric reconstruction from sidescan. Sidescan sonar (SSS) intensities as a function of range do contain some information about the slope of the seabed.
Yiping Xie, Nils Bore, J. Folkesson
semanticscholar +1 more source
Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks
IEEE Journal of Oceanic Engineering, 2023 In this article, we propose a novel data-driven approach for high-resolution bathymetric reconstruction from sidescan. Sidescan sonar intensities as a function of range do contain some information about the slope of the seabed.
Yiping Xie, Nils Bore, J. Folkesson
semanticscholar +1 more source
Small-Sample Sonar Image Classification Based on Deep Learning
Journal of Marine Science and Engineering, 2022 Deep learning is a core technology for sonar image classification. However, owing to the cost of sampling, a lack of data for sonar image classification impedes the training and deployment of classifiers. Classic deep learning models such as AlexNet, VGG,
Zezhou Dai, Hong Liang, Tong Duan
doaj +1 more source
Operation of a multi-frequency parametric sidescan sonar in an ice waveguide [PDF]
EPJ Web of Conferences, 2021 Hydroacoustic systems for mineral exploration, solving engineering problems and monitoring the ecological state of the world’s oceans are currently being intensively developed.
Pivnev Petr +3 more
doaj +1 more source
SUPPORT VECTOR MACHINE AND DECISION TREE BASED CLASSIFICATION OF SIDE-SCAN SONAR MOSAICS USING TEXTURAL FEATURES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The diversity and heterogeneity of coastal, estuarine and stream habitats has led to them becoming a prevalent topic for study. Woody ruins are areas of potential riverbed habitat, particularly for fish.
H. K. Febriawan +3 more
doaj +1 more source
Intensity normalization of sidescan sonar imagery [PDF]
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016 Sonar imaging is currently the exemplary choice used in underwater imaging. However, since sound signals are absorbed by water, an image acquired by a sonar will have gradient illumination; thus, underwater maps will be difficult to process. In this work, we investigated this phenomenon with the objective to propose methods to normalize the images with
Al-Ravi, M.S. +9 more
openaire +2 more sources