Results 71 to 80 of about 1,320,226 (145)

Synthetic Aperture Sonar Compressive Sensing Imaging by Iterative Optimization Based on Ridge Regression

IEEE Access
Synthetic aperture sonar (SAS) imaging based on compressive sensing (CS) has shown strong potential for high-resolution reconstruction under sparse sampling conditions.
Yingqi Yang, Linyuan Guo, Liran Ma
doaj   +1 more source

High-resolution mapping of ocean floor based on synthetic aperture technique

Frontiers in Marine Science
To improve the imaging performance of multireceiver synthetic aperture sonar system, this paper proposes a new imaging methodology. The presented approach exploits the idea of Loffeld’s bistatic formula (LBF) that is an accurate spectrum.
Lili Zhang, Jiaqi Liu, Jing Feng, Peng Wu, Zhiping Xu   +4 more
doaj   +1 more source

Image-quality prediction of synthetic aperture sonar imagery

, 2010
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict the correlation of sonar ping-returns as a function of range from the sonar ...
David P. Williams
core   +1 more source

Registration of images from a hull mounted, low frequency synthetic aperture sonar

, 2013
Coherent change detection between multiple synthetic aperture sonar (SAS) images is reliant on the images being co-registered with sub-pixel accuracy. In this paper we suggest a technique using available navigation data to reconstruct the images onto a ...
Hunter, A.J., Hayes, M., Bonnett, B.
core  

Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation. [PDF]

Sensors (Basel), 2023
Bae I, Hong J.
europepmc   +1 more source

Advances in Self-Supervised Learning for Synthetic Aperture Sonar Data Processing, Classification, and Pattern Recognition

, 2023
Synthetic Aperture Sonar (SAS) imaging has become a crucial technology for underwater exploration because of its unique ability to maintain resolution at increasing ranges, a characteristic absent in conventional sonar techniques.
Sheffield, Brandon, Marchand, Bradley, Emigh, Matthew S., Bobe III, Frank E.   +3 more
core  

Deep Adaptive Phase Learning: Enhancing Synthetic Aperture Sonar Imagery Through Learned Coherent Autofocus

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Having well-focused synthetic aperture sonar (SAS) imagery is important for its accurate analysis and support of autonomous systems. Despite advances in motion estimation and image formation methods, there persists a need for robust autofocus algorithms ...
Isaac D. Gerg, Daniel A. Cook, Vishal Monga   +2 more
doaj   +1 more source

Spectral Normalized CycleGAN with Application in Semisupervised Semantic Segmentation of Sonar Images. [PDF]

Comput Intell Neurosci, 2022
Zhang Z, Tang J, Zhong H, Wu H, Zhang P, Ning M.   +5 more
europepmc   +1 more source

Sea Mine Detection Framework Using YOLO, SSD and EfficientDet Deep Learning Models. [PDF]

Sensors (Basel), 2022
Munteanu D, Moina D, Zamfir CG, Petrea ȘM, Cristea DS, Munteanu N.   +5 more
europepmc   +1 more source

Seafloor depth estimation by means of interferometric synthetic aperture sonar [PDF]

, 2010
The topic of this thesis is relative depth estimation using interferometric sidelooking sonar. We give a thorough description of the geometry of interferometric sonar and of time delay estimation techniques.
Sæbø, Torstein Olsmo
core