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Deep learning algorithms for sonar imagery analysis and its application in aquaculture: A review
Y Chai, H Yu, L Xu, D Li, Y Chen - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
With the rapid development of underwater sensor techniques, using acoustic techniques to
obtain and analyze underwater images is an effective approach due to the superior nature of …
obtain and analyze underwater images is an effective approach due to the superior nature of …
Speckle noise reduction in coherent imaging systems via hybrid median–mean filter
Images recorded by coherent imaging systems, including laser-based photography, digital
holography (DH), and digital holographic microscopy (DHM), are severely distorted by …
holography (DH), and digital holographic microscopy (DHM), are severely distorted by …
A reverberation noise suppression method of sonar image based on shearlet transform
H Zhang, J Cheng, M Tian, J Liu, G Shao… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
A sonar image affected by reverberation noise would generate serious speckle noise in the
image, which causes great trouble for the later sonar image target segmentation and …
image, which causes great trouble for the later sonar image target segmentation and …
An unsupervised automatic organization method for Professor Shirakawa's hand-notated documents of oracle bone inscriptions
As one of the most influential Chinese cultural researchers in the second half of the twentieth-
century, Professor Shirakawa is active in the research field of ancient Chinese characters …
century, Professor Shirakawa is active in the research field of ancient Chinese characters …
Conditional GANs for sonar image filtering with applications to underwater occupancy map**
Underwater robots typically rely on acoustic sensors like sonar to perceive their
surroundings. However, these sensors are often inundated with multiple sources and types …
surroundings. However, these sensors are often inundated with multiple sources and types …
Performance evaluation of linear and nonlinear filters for despeckling B mode foetal heart ultrasound images
Early detection of congenital heart disease (CHD), one of the most commonly occurring
congenital defects, is important to reduce mortality rates. The major drawback of ultrasound …
congenital defects, is important to reduce mortality rates. The major drawback of ultrasound …
[HTML][HTML] Acoustic camera-based super-resolution reconstruction approach for underwater perception in low-visibility marine environments
X Zhou, K Mizuno - Applied Ocean Research, 2024 - Elsevier
In low-visibility environments, the underwater perception range of optical cameras is
severely restricted, and perception operations in ocean engineering often rely on sonar …
severely restricted, and perception operations in ocean engineering often rely on sonar …
[HTML][HTML] Sonar-Based Simultaneous Localization and Map** Using the Semi-Direct Method
The SLAM problem is a common challenge faced by ROVs working underwater, with the key
issue being the accurate estimation of pose. In this work, we make full use of the positional …
issue being the accurate estimation of pose. In this work, we make full use of the positional …
An efficient collaborative filtering method for image noise and artifact removal
X Liu, S Wang, S Fu, L Yuliang, S Liu, W Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, sparse representation theory and low-rank approximation model have been
widely used in signal and image processing fields. In the study of natural image denoising …
widely used in signal and image processing fields. In the study of natural image denoising …
X-ray Image Blind Denoising in Hybrid Noise Based on Convolutional Neural Networks
J Wang, H Cong, X Wei, B Qi, J Li, T Cai - IEEE/WIC/ACM International …, 2021 - dl.acm.org
Low-dose X-ray imaging is a medical imaging method used for disease screening and
diagnosis. However, the interpretation of such images is a challenging task because of …
diagnosis. However, the interpretation of such images is a challenging task because of …