Speaker: Lan Du

Affiliation: Xidian University

Academic title: Professor

Honorary title: Ten Thousand Talents Plan Leading Talents

Abstract:

Synthetic aperture radar (SAR) has been widely used in both commercial and military areas, such as urban planning, natural resources monitoring, and military surveillance, due to its ability to form high resolution images with relative invariance to weather and lighting conditions. With these advantages, SAR automatic target detection has also attracted much more attention during the past decades. With the improvement of computing power, the detection methods based on deep learning are developing rapidly. This talk will introduce our recent work on deep learning based SAR ship detection, including semi-supervised SAR ship detection and unsupervised domain adaption SAR ship detection.

Biography:

Lan Du received the B.S., M.S., and Ph.D. degrees in electronic engineering from Xidian University, Xi’an, China, in 2001, 2004, and 2007, respectively. Since 2002, she has been with the Faculty of Xidian University, where she is currently a Professor with the National Laboratory of Radar Signal Processing. From 2007 to 2009, she was a Post-Doctoral Research Associate with the Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. Her research interests include statistical signal processing and machine learning with application to radar target recognition. Prof. Du has published more than 100 journal and conference papers as the first author or corresponding author. She is a Senior Member of IEEE. She is serving as an Associate Editor of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing and Frontiers in Signal Processing.