Results 211 to 220 of about 6,273,313 (270)

Perception-and-Cognition-Inspired Quality Assessment for Sonar Image Super-Resolution

IEEE transactions on multimedia
Due to the light-independent imaging characteristics, sonar images play a crucial role in fields such as underwater detection and rescue. However, the resolution of sonar images is negatively correlated with the imaging distance.
Weiling Chen, Boqin Cai, Sumei Zheng, Tiesong Zhao, Ke Gu   +4 more
semanticscholar   +1 more source

Side-Scan Sonar Image Classification With Zero-Shot and Style Transfer

IEEE Transactions on Instrumentation and Measurement
Side-scan sonar (SSS) has become an important tool for ocean exploration due to its practicality and reliability. Existing approaches for SSS image classification mainly rely on deep convolutional neural networks (DCNNs).
Zhongyu Bai, Hongli Xu, Qichuan Ding, Xiangyue Zhang   +3 more
semanticscholar   +1 more source

A Novel Sonar Image Denoising Algorithm based on Block Matching

International Conference on Microwave and Millimeter Wave Technology, 2022
The existing sonar image denoising methods are either based on the spatial domain or the transform domain, which have their own shortcomings. This paper presents an improved BM3D algorithm for sonar image denoising.
Xinrui Han, Qian Sun, Yibing Li, Fang Ye
semanticscholar   +1 more source

Denoising and inpainting SONAR images

2015 38th International Conference on Telecommunications and Signal Processing (TSP), 2015
The basic principle of SONAR is to use sound to detect or locate objects, typically in the ocean. During acquisition, some pixels of SONAR images could be lost. The recovery of lost or damaged data can be done by using an inpainting algorithm. But, SONAR images are perturbed by speckle noise, so speckle reduction filters should be used to improve the ...
Cristina Stolojescu-Crisan, Alexandru Isar   +1 more
openaire   +1 more source

A Level Set Method With Heterogeneity Filter for Side-Scan Sonar Image Segmentation

IEEE Sensors Journal
Small underwater target detection from sonar images remains a challenging task. In this article, a novel level-set-based image segmentation algorithm combined with heterogeneity filter is proposed to segment target from original sonar images.
Meiyan Zhang, Wenyu Cai, Yuhai Wang, Jifeng Zhu   +3 more
semanticscholar   +1 more source

Semi-Reference Sonar Image Quality Assessment Based on Task and Visual Perception

IEEE transactions on multimedia, 2021
In submarine and underwater detection tasks, conventional optical imaging and analysis methods are not universally applicable due to the limited penetration depth of visible light. Instead, sonar imaging has become a preferred alternative.
Weiling Chen, Ke Gu, Tiesong Zhao, G. Jiang, P. Callet   +4 more
semanticscholar   +1 more source

Sidescan sonar image processing techniques

IEEE Journal of Oceanic Engineering, 1993
A four-step processing sequence is described to produce image mosaics from the various segments of a sidescanned acoustic imaging survey of a given seafloor area. Starting with data consisting for each ping of acoustic backscatter levels versus horizontal range across-track, median prefiltering is used first to reduce the influence of outliers on ...
Cervenka, Pierre, de Moustier, Christian
openaire   +2 more sources

Cabled observatory vent imaging sonar.

The Journal of the Acoustical Society of America, 2011
A cabled observatory vent imaging sonar (COVIS) has been developed to provide plume and Doppler imaging of hydrothermal vents and surrounding diffuse flow. The system was designed to be compatible with the power and data interface standards of the Neptune Canada cabled observatory.
Russell Light, Vernon Miller, Darrell R. Jackson, Peter A. Rona, Karen G. Bemis   +4 more
openaire   +1 more source

SEGSID: A Semantic-Guided Framework for Sonar Image Despeckling

IEEE Transactions on Image Processing
Sonar imagery is substantially degraded by speckle noise, making the task of despeckling crucial for improving image quality. Self-supervised despeckling methods, represented by blind-spot networks (BSNs), have shown promise in this regard.
Shaohua Liu, Junzhe Lu, Hongkun Dou, Jiajun Li, Yue Deng   +4 more
semanticscholar   +1 more source

Sonar Image Denoising Based on Anisotropic Guided filtering

Annual Meeting of the IEEE Industry Applications Society, 2022
The limitations of imaging principle and imaging environment distort the sonar images by various noises, which causes the sonar image to have the characteristics of low resolution and blurred edges.
Chengjie Wang, Liran Shen, Yunsheng Fan, Tianshun Chen, Xinyu Tan   +4 more
semanticscholar   +1 more source