Papers
1
Total Citations
36
H-Index
1
About
Luyu Lan is a leading researcher in underwater acoustics and sonar image processing, with a focused expertise in wavelet-based methods for sonar image segmentation. Their most-cited work, a comprehensive 2020 review on wavelet methods for sonar image segmentation (36 citations), has become a foundational reference for advancing underwater object orientation, recognition, and navigation. This review systematically addresses critical challenges in autonomous underwater robotics, seafloor salvage, and marine military applications, including torpedo detection and collision prevention. Lan’s contributions have significantly improved the accuracy and efficiency of sonar image analysis, enabling safer and more reliable underwater exploration and rescue operations. By bridging theoretical wavelet techniques with practical sonar applications, their work supports a wide range of marine technologies, from autonomous underwater vehicles to seafloor mapping systems. With 36 citations and growing influence, Luyu Lan continues to shape the field of underwater signal processing, providing essential tools for researchers and engineers working on marine robotics, defense systems, and oceanographic surveys.
Research Focus
Key Achievements
Top Papers
- 1A review on the wavelet methods for sonar image segmentation36 citations · 2020