Yonghe Yu
Papers
1
Total Citations
2
H-Index
1
About
Yonghe Yu is a researcher whose work centers on advancing imaging technologies for challenging environments, with a particular focus on underwater robotics and ghost imaging. His key contributions lie in enhancing ghost imaging techniques—a novel computational imaging method that leverages the unique physical properties of light to reconstruct images from single-pixel detectors. In his notable 2020 paper, "Ghost imaging enhancement for detections of the low-transmittance objects," Yu addresses the critical problem of imaging in highly scattering or low-visibility underwater conditions, where conventional cameras often fail. By developing methods to improve ghost imaging's performance with low-transmittance objects, his work directly supports underwater robots in more reliably detecting and recognizing their surroundings amid complex, variable aquatic environments. While his citation count is currently modest, with 2 citations for this foundational paper, Yu's research represents an important step toward practical, robust imaging solutions for autonomous underwater systems. His achievements highlight a dedication to solving real-world sensing challenges, making his work of particular interest to researchers in computational optics, marine robotics, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1