1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learning Visual Representation of Underwater Acoustic Imagery Using Transformer-Based Style Transfer Method
Xiaoteng Zhou, Changli Yu, Shihao Yuan +3
Underwater automatic target recognition (UATR) has been a challenging research topic in ocean engineering. Although deep learning brings opportunities for target recognition on lan…
Nonlinear Intensity Sonar Image Matching based on Deep Convolution Features
Xiaoteng Zhou, Changli Yu, Xin Yuan +3
With the continuous development of underwater vision technology, more and more remote sensing images could be obtained. In the underwater scene, sonar sensors are currently the mos…
Nonlinear Intensity Underwater Sonar Image Matching Method Based on Phase Information and Deep Convolution Features
Xiaoteng Zhou, Changli Yu, Xin Yuan +2
In the field of deep-sea exploration, sonar is presently the only efficient long-distance sensing device. The complicated underwater environment, such as noise interference, low ta…
A Matching Algorithm based on Image Attribute Transfer and Local Features for Underwater Acoustic and Optical Images
Xiaoteng Zhou, Changli Yu, Xin Yuan +1
In the field of underwater vision research, image matching between the sonar sensors and optical cameras has always been a challenging problem. Due to the difference in the imaging…
Deep Denoising Method for Side Scan Sonar Images without High-quality Reference Data
Xiaoteng Zhou, Changli Yu, Xin Yuan +1
Subsea images measured by the side scan sonars (SSSs) are necessary visual data in the process of deep-sea exploration by using the autonomous underwater vehicles (AUVs). They coul…