 Dr. Jun Wang, National University of Defense Technology, China
Personal profile: Dr. Wang is an assistant professor in the College of Meteorology and Oceanography, National University of Defense technology. He received the B.S. degree in optical information science and technology and the Ph.D. degree in optical engineering from the College of Optoelectronic Science and Engineering, NUDT in 2010 and 2016, respectively. During the period of pursuing doctoral degree, he studied as a joint Ph.D candidate for one year in the University of New South Wales, Australia in 2013. He researched fiber optic underwater detection for many years, his current research interests are unmanned underwater detection, underwater acoustic imaging and multi-modal information fusion. He has achieved two military and provincial science and technology progress second awards. In 2021, he was selected as a young talent of NUDT.
Presentation title: Progress in super-resolution underwater acoustic imaging
Abstract: It is hard to further improve the underwater acoustic image resolution by using traditional imaging algorithms due to the influence of complicated marine environment and restricted acoustic imaging systems. Super-resolution image reconstruction methods are frontier methods in optical imaging and radar imaging which can be applied to underwater acoustic imaging and further increase the effective resolution for special circumstance. Currently, we take advantage of a priori knowledge about the sparsity of the targets and the noise probability distribution of the imaging signals to develop a sparse deconvolution algorithm that increase the resolution of the sparse targets effectively based on imaging sonar. Progress in super-resolution underwater acoustic imaging of our research group will be introduced. |