Invited Talk: Ming Liu, Shaanxi Normal University

Special session 12: Artificial Intelligence in Radar Signal Processing

Short Bio: 
Ming Liu received the B.S. degree in Electronic Information Engineering and the Ph.D. degree in Pattern Recognition and Intelligence System from Xidian University, Xi’an, China, in 2009 and 2015, respectively.
She is currently a lecturer in the School of Computer Science, Shaanxi Normal University. She has been awarded the young talent fund of university association for science and technology in Shaanxi. She is the principal investigator of several projects, including the national natural science foundation of China (NSFC), natural science foundation of Shaanxi province. She has published more than 50 papers, and has been authorized 4 invention patents. Her research interest includes SAR target recognition and SAR image processing.

Title:  A Target Detection Method in SAR Images Based on Superpixel Segmentation

Abstract:
A synthetic aperture radar (SAR) target detection method based on the fusion of multiscale superpixel segmentations is proposed in this paper. SAR images are segmented between land and sea firstly by using superpixel technology in different scales. Secondly, image segmentation results together with the constant false alarm rate (CFAR) detection result are coalesced. Finally, target detection is realized by fusing different scale results. The effectiveness of the proposed algorithm is tested on Sentinel-1A data.