Results 101 to 110 of about 20,037 (164)

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]

Sensors (Basel), 2021
Nian R, Zang L, Geng X, Yu F, Ren S, He B, Li X.   +6 more
europepmc   +1 more source

A Hybrid VGG-ResNet Feature Fusion Network for Object Detection in Side-Scan Sonar Images

International Journal of Emerging Research in Engineering, Science, and Management
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, Vijayalakshmi P, Rajendran V   +2 more
doaj   +1 more source

Automated, objective texture segmentation of multibeam echosounder data - Seafloor survey and substrate maps from James Island to Ozette Lake, Washington Outer Coast [PDF]

, 2007
Without knowledge of basic seafloor characteristics, the ability to address any number of critical marine and/or coastal management issues is diminished. For example, management and conservation of essential fish habitat (EFH), a requirement mandated by
Beaudoin, Jonathan D., Cutter, George R., Intelmann, Steven S.   +2 more
core  

RV Pelagia Cruise 64PE219, 05 Nov – 24 Nov 2003. TOBI surveys of Setubal and Nazarre Canyons and of the MV Prestige wreck site, west of Iberia [PDF]

, 2003
The main objective of the cruise was to collect TOBI sidescan sonar imagery over three areas of the continental margin west of Iberia, where sediment transport studies are being undertaken as part of the EC funded ‘EUROSTRATFORM’ project. The three study
Masson, D.G.
core  

Deep Learning-Based Feature Matching Algorithm for Multi-Beam and Side-Scan Images

Remote Sensing
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, Xiaowen Luo, Xiaoming Qin, Hongyang Wan, Jiaxin Cui, Zepeng Huang   +5 more
doaj   +1 more source

MAL-YOLO: a lightweight algorithm for target detection in side-scan sonar images based on multi-scale feature fusion and attention mechanism

International Journal of Digital Earth
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, Xiaodong Cui, Mingyi Gan, Yaxue Wang, Fanlin Yang, Yi Huang   +5 more
doaj   +1 more source

On Mixed-Initative Planning and Control for Autonomous Underwater Vehicles [PDF]

Supervision and control of Autonomous underwater vehicles (AUVs) has traditionally been focused on an operator determining a priori the sequence of waypoints of a single vehicle for a mission.
Chrpa, Lukáš, Pinto, Jose, Py, Frederic, Rajan, Kanna, Ribeiro, Manuel, Sousa, Joao   +5 more
core  

ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation. [PDF]

Sensors (Basel), 2019
Wu M, Wang Q, Rigall E, Li K, Zhu W, He B, Yan T.   +6 more
europepmc   +1 more source

Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition. [PDF]

Sensors (Basel), 2019
Grabek J, Cyganek B.
europepmc   +1 more source

Physics-Informed Side-Scan Sonar Perception: Tackling Weak Targets and Sparse Debris via Geometric and Frequency Decoupling. [PDF]

Sensors (Basel)
Yu B, Lin R, Zhou H, Zhang J, Zhang X.
europepmc   +1 more source