Dual-Path Residual "Shrinkage" Network for Side-Scan Sonar Image Classification. [PDF]
Ruan F +5 more
europepmc +1 more source
Small object detection in side-scan sonar images based on SOCA-YOLO and image restoration
Although side-scan sonar can provide wide and high-resolution views of submarine terrain and objects, it suffers from severe interference due to complex environmental noise, variations in sonar configuration (such as frequency, beam pattern, etc.), and ...
Xiaodong Cui +4 more
doaj +1 more source
Assessing Bottom Gear Impact in the WGOM Closure Area: A Multifaceted Approach [PDF]
Mashkoor Malik presented the results of a UNH Center for Coastal and Ocean Mapping (CCOM) study of the seafloor of the WGOMCA. Objectives The objectives for the CCOM study were to: • Construct a bathymetric map of Jeffrey’s Ledge to serve as a framework ...
Malik, Mashkoor A., Mayer, Larry A.
core +1 more source
Side-Scan Sonar Image Augmentation Method Based on CC-WGAN
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.
Junhui Zhu +4 more
doaj +1 more source
Data handling methods and target detection results for multibeam and sidescan data collected as part of the search for SwissAir Flight 111 [PDF]
The crash of SwissAir Flight 111, off Nova Scotia in September 1998, triggered one of the largest seabed search surveys in Canadian history. The primary search tools used were sidescan sonars (both conventional and focussed types) and multibeam sonars ...
Bradford, Jim +5 more
core +1 more source
Towards Characterizing and Developing Formation and Migration Cues in Seafloor Sand Waves on Topology, Morphology, Evolution from High-Resolution Mapping via Side-Scan Sonar in Autonomous Underwater Vehicles. [PDF]
Nian R +6 more
europepmc +1 more source
Style Transfer-Based Augmentation for Side-Scan Sonar Images
Side-scan sonar(SSS) has been extensively adopted in ocean exploration because of its stability and efficiency when deployed on autonomous undersea vehicles(AUVs).
Zhongyu BAI +3 more
doaj +1 more source
A Hybrid VGG-ResNet Feature Fusion Network for Object Detection in Side-Scan Sonar Images
Side-scan sonar images present significant challenges for object detection due to high noise levels, limited spatial resolution, and complex seabed structures.
Venkata Lakshmi Keerthi K +2 more
doaj +1 more source
Deep Learning-Based Feature Matching Algorithm for Multi-Beam and Side-Scan Images
Side-scan sonar and multi-beam echo sounder (MBES) are the most widely used underwater surveying tools in marine mapping today. The MBES offers high accuracy in depth measurement but is limited by low imaging resolution due to beam density constraints ...
Yu Fu +5 more
doaj +1 more source
Side-scan sonar image target detection is of great significance in seabed resource exploration and other fields. However, affected by the complex underwater environment, side-scan sonar images have the problems of few target samples and large differences
Yu Cao +5 more
doaj +1 more source

