1 citations · 2 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…
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…
Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method
Xiaoteng Zhou, Changli Yu, Xin Yuan +1
This paper proposes a method that combines the style transfer technique and the learned descriptor to enhance the matching performances of underwater sonar images. In the field of…