1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2021
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…
cs.CV2021
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…
cs.CV2021★ 1 cited
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…