ICCCAS 2025 Invited Speaker
Wusheng Tang
National University of Defense Technology, China
Biography: Tang Wusheng, male, PhD in
Physics, Assistant Researcher, School of Meteorology and Oceanography,
National University of Defense Technology. Mainly engaged in research on
underwater detection and imaging, ocean physics and observation detection
technology, underwater acoustic image processing, etc., and has published
more than ten high-level academic papers. Mainly responsible for completing
five national and military level projects, and the research results have
obtained multiple military civilian application
proofs.
唐武盛,男,物理学博士,助理研究员,国防科技大学气象海洋学院。主要从事水下探测与成像、海洋物理与观测探测技术、水声图像处理等研究工作,发表高水平学术论文十余篇。主要负责完成国家级、军队级项目课题五项,研究成果已获得多项军民应用证明。
Speech Title: Ultra-high Resolution 3D Underwater Acoustic
Imaging Technology 超高分辨率三维水声成像技术
Abstract: Underwater acoustic imaging
is an important means of underwater target detection and recognition, and is
one of the important directions of sonar technology. The structural
characteristics of underwater targets in the actual military and civilian
fields are complex, and the application of synthetic aperture sonar imaging
technology can obtain high-resolution acoustic images of them. However,
limited by the imaging mode, the current side scan synthetic aperture sonar
can only obtain two-dimensional acoustic images of the target, and due to
motion errors, the acoustic image quality is relatively low. This study
designed a high-precision sub wavelength motion compensation method based on
a real-time acoustic calibration system, which effectively eliminates the
influence of motion errors through a down-looking line array system and
obtains ultra-high resolution 3D underwater acoustic images of centimeter
sized targets. Compared with mainstream 3D underwater acoustic imaging
equipment at home and abroad, the reconstruction quality is better and the
target recognition is higher.
水声成像是水下目标探测与识别的重要手段,是声呐技术的重要方向之一。实际军民领域中的水下目标结构特征复杂,应用合成孔径声呐成像技术能够获得其较高分辨的声图。但受限于成像模式,当前侧扫合成孔径声呐仅能获取目标二维声图,同时因为运动误差的存在,声图质量较低。本研究设计了一种基于实时声学校准系统的高精度亚波长运动补偿方法,通过下视线列阵系统有效消除运动误差的影响,获得厘米级尺寸目标的超高分辨率三维水声图像。相较国内外主流三维水声成像设备,重构质量更好,目标辨识度更高。