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   Articles with "side scan" as a keyword



Using Side‐Scan Sonar and N ‐Mixture Modeling to Estimate Atlantic Sturgeon Spawning Migration Abundance

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recommendations! Published in 2019 at "North American Journal of Fisheries Management"

DOI: 10.1002/nafm.10326

Abstract: Understanding the relationship between number of spawners and recruitment is essential for managing fish populations. Atlantic Sturgeon Acipenser oxyrinchus (ATS) are endangered anadromous fish inhabiting the rivers, estuaries, and marine environments along the Atlantic coast… read more here.

Keywords: atlantic sturgeon; side scan; abundance; scan sonar ... See more keywords

Sea bottom line tracking in side-scan sonar image through the combination of points density clustering and chains seeking

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recommendations! Published in 2019 at "Journal of Marine Science and Technology"

DOI: 10.1007/s00773-019-00685-6

Abstract: Sea bottom line is the echo boundary between the water column and seabed on side-scan sonar waterfall image. Tracking it correctly is the basis for geometric and radiative correction of side-scan sonar image. Because of… read more here.

Keywords: bottom line; line; side scan; scan sonar ... See more keywords
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Probabilistic neural network based seabed sediment recognition method for side-scan sonar imagery

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recommendations! Published in 2020 at "Sedimentary Geology"

DOI: 10.1016/j.sedgeo.2020.105792

Abstract: Abstract Recognition of seabed sediment is one of the critical foundations of marine exploitation. This paper proposes a probabilistic neural network (PNN) based method to improve the identification accuracy of seabed sediment from side-scan sonar… read more here.

Keywords: side scan; seabed sediment; sonar imagery; scan sonar ... See more keywords

Unsupervised underwater shipwreck detection in side-scan sonar images based on domain-adaptive techniques

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-63501-1

Abstract: Underwater object detection based on side-scan sonar (SSS) suffers from a lack of finely annotated data. This study aims to avoid the laborious task of annotation by achieving unsupervised underwater object detection through domain-adaptive object… read more here.

Keywords: detection; domain adaptive; unsupervised underwater; scan sonar ... See more keywords

Shipwreck Target Recognition in Side-Scan Sonar Images by Improved YOLOv3 Model Based on Transfer Learning

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3024813

Abstract: When used to recognize side-scan sonar images of shipwreck targets, the Faster R-CNN model is time-consuming and has low efficiency and a high missed detection rate for small targets. Considering that existing datasets of side-scan… read more here.

Keywords: transfer learning; model; yolov3 model; target ... See more keywords

SI-GAT: Enhancing Side-Scan Sonar Image Classification Based on Graph Structure

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3416193

Abstract: Underwater target classification based on side-scan sonar (SSS) imagery holds significant military and civilian applications. However, challenges, such as low sonar image resolution and limited target features, pose substantial difficulties in the classification of SSS… read more here.

Keywords: classification; classification based; image; side scan ... See more keywords

Nonhomogeneous Noise Removal From Side-Scan Sonar Images Using Structural Sparsity

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recommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2895843

Abstract: The image quality of side-scan sonar (SSS) is determined by its operating frequency. SSS operating at a low frequency produces low-quality images due to high levels of noise. This noise is randomly generated from a… read more here.

Keywords: nonhomogeneous noise; scan sonar; side scan; structural sparsity ... See more keywords

Feature Sparse Coding With CoordConv for Side Scan Sonar Image Enhancement

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3026703

Abstract: In this letter, we propose a learning-based compressive sensing (CS) algorithm for denoising side scan sonar (SSS) images. The proposed method is a deep learning-based CS method with enhanced nonlinearity based on an iterative shrinkage… read more here.

Keywords: feature sparse; side scan; sparse coding; scan sonar ... See more keywords

Side-Scan Sonar Analysis Using ROI Analysis and Deep Neural Networks

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3147367

Abstract: Side-scan sonar generates an image based on the reflection of sound waves. The reflection takes place with the first encountered object, which, in practice, may be a passing fish or even a wave from the… read more here.

Keywords: neural networks; side scan; sonar analysis; scan sonar ... See more keywords
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Dual-Path Residual “Shrinkage” Network for Side-Scan Sonar Image Classification

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/6962838

Abstract: The underwater environment is complicated and changeable and contains many noises, making it difficult to detect a particular object in the underwater environment. At present, the main seabed detection technology explores the seabed environment with… read more here.

Keywords: scan sonar; sonar; image classification; image ... See more keywords

Side-Scan Sonar Image Augmentation Method Based on CC-WGAN

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14178031

Abstract: The utilization of deep learning algorithms for side-scan sonar target detection is impeded by the restricted quantity and representativeness of side-scan sonar (SSS) samples. To address this issue, this paper proposes a method for image… read more here.

Keywords: detection; method; scan sonar; side scan ... See more keywords