Using Side‐Scan Sonar and N ‐Mixture Modeling to Estimate Atlantic Sturgeon Spawning Migration Abundance
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Probabilistic neural network based seabed sediment recognition method for side-scan sonar imagery
Sign Up to like & getrecommendations! 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
Shipwreck Target Recognition in Side-Scan Sonar Images by Improved YOLOv3 Model Based on Transfer Learning
Sign Up to like & getrecommendations! 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
Nonhomogeneous Noise Removal From Side-Scan Sonar Images Using Structural Sparsity
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Dual-Path Residual “Shrinkage” Network for Side-Scan Sonar Image Classification
Sign Up to like & getrecommendations! 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
A Side-Scan Sonar Image Synthesis Method Based on a Diffusion Model
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse11061103
Abstract: The limited number and under-representation of side-scan sonar samples hinders the training of high-performance underwater object detection models. To address this issue, in this paper, we propose a diffusion model-based method to augment side-scan sonar… read more here.
Keywords: side scan; model; sonar image; scan sonar ... See more keywords
Effects of Training on Side-Scan Sonar Use as a Fish Survey Tool: a Case Study in Alligator Gar
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Fish and Wildlife Management"
DOI: 10.3996/jfwm-21-026
Abstract: Consumer-grade side-scan sonar has become a versatile fisheries management tool. First applied to assess habitat, its use has expanded to surveying fishes in recent years. However, an important consideration is the skill and experience of… read more here.
Keywords: side scan; scan sonar; alligator gar; alligator ... See more keywords