Instructor

Henry Leung

Professor, Electrical and Software Engineering

University of Calgary, Canada

Deep Learning in Remote Sensing: Algorithms and Applications

Tutorial Topic

Deep learning algorithms have been widely used in remote sensing because of their effectiveness in image processing and computer vision. In this tutorial, we will present a review of selected deep learning algorithms that are popular in the remote sensing community including convolutional neural networks (CNN), generative adversarial networks (GAN), transformers, transfer learning, and meta learning. In the second half of the tutorial, we will present our research works on these deep learning algorithms in different remote sensing applications: 1) Synthetic aperture radar (SAR) target recognition based on cross-domain and cross-task transfer learning, 2) image generation using GAN and its application to SAR targe recognition, 3) image fusion based on transformers and GAN, 4) satellite image segmentation for different types of satellite images using deep neural networks such as deeplabs and efficient nets, 5) target recognition using meta-learning with shared and specific structures for SAR, and 6) style transfer using GAN to transform remote sensing images among different domains such as SAR and optical images.

Speaker’s Bio

Henry Leung is a professor of the Department of Electrical and Computer Engineering of the University of Calgary. Before joining U of C, he was with the Department of National Defence (DND) of Canada as a defence scientist. His main duty there was to conduct research and development of automated surveillance systems, which can perform detection, tracking, identification and data fusion automatically as a decision aid for military operators. His current research interests include big data analytic,   chaos and nonlinear dynamics, information fusion, machine learning, signal and image processing, robotics and internet of things. He has published extensively in the open literature on these topics. He has over 350 journal papers and 250 refereed conference papers.  He is currently associate editor of Scietific Reports, IEEE Journal on Emerging and Special Topics on Circuits and Systems, Sensor Journal, IEICE Trans. Nonlinear Theory and its Applications, and Aerospace Systems He is the editor of the Springer book series on “Information Fusion and Data Science”. He is a Fellow of IEEE and SPIE.