Speaker: Junjun Yin

Affiliation: University of Science and Technology Beijing

Academic title: Professor

Abstract:

Physical scattering mechanism (PSM) identification is the essential basis for effectively interpreting the polarimetric synthetic aperture radar (SAR) images. For the space-borne SAR images, the land-use and land-cover classification over the temporal scale is important for many applications, such as the urban area evolvement and change detection.  In this study, we propose a new scattering vector parameterization method for interpreting coherent scattering. This new scattering model, which has the same formation as the eigenvector-based scattering model, consists of 5 polarimetric parameters including the normalization factor. Experimental results show the new scattering model is capable of distinguishing forest from the oriented urban areas when only polarimetric parameters are considered. By further considering the total backscattered energy, such as the complex Wishart classifier, the proposed method is more stable than the other PSM-based initialization method.

Biography:

Junjun YIN (S'13–M'14) received the Ph.D. degree in Information and Communication Engineering from Tsinghua University, Beijing, China, in 2013. From 2013 to 2015, she was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, and with the Department of Geological Sciences, University of Manitoba, Canada. She is currently a faculty member with the School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), China. Her current research interests include polarimetric SAR image interpretation, compact polarimetry, ship detection and oil spill observation, change detection, and polarimetric SAR image classification and segmentation.