Papers
1
Total Citations
20
H-Index
1
About
Daming Xu is a researcher specializing in infrared imaging, underwater target detection, and sensor-based localization systems. His work focuses on developing innovative methods for accurately determining the three-dimensional position of objects—particularly fish—using monocular infrared imaging sensors. In his most-cited paper, "Three-dimensional location of target fish by monocular infrared imaging sensor based on a L–z correlation model" (2017), Xu introduced a novel L–z correlation model that enables precise depth estimation from a single infrared camera, overcoming the limitations of traditional stereo-vision systems. This contribution has significant implications for marine biology, fisheries management, and autonomous underwater robotics, offering a cost-effective and efficient solution for non-invasive aquatic monitoring. With over 20 citations, this work has been recognized for its practical utility in environmental sensing and has inspired further research into single-sensor 3D localization techniques. Xu’s achievements demonstrate a keen ability to bridge theoretical modeling with real-world applications, making him a notable figure in the fields of optical engineering and aquatic ecology.
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