Doctoral defence in Electrical and Computer Engineering - Bin Zhao

Live stream: https://livestream.com/hi/doktorsvornbinzhao

 Ph.D. student: Bin Zhao

Dissertation title: Hyperspectral Image Denoising Using Low-Rank Based Methods

Opponents: Dr. Javier Plaza Miguel, Professor of the Hyperspectral Computing Laboratory, University of Extremadura, Spain
Dr. Björn Waske, Professor of the Institute of Computer Sciences, Remote Sensing Working Group, University of Osnabrück, Germany

Advisors: Dr. Jóhannes R. Sveinsson, Professor at the Faculty of Electrical and Computer Engineering, University of Iceland
Dr. Magnús Örn Úlfarsson, Professor and Chair of the Faculty of Electrical and Computer Engineering, University of Iceland

Doctoral committee:  Dr. Jocelyn Chanussot, Professor at the Department for Signals and Images, Grenoble Institute of Technology, France

Chair of Ceremony: Dr. Jakob Sigurðsson, Associate Professor and substitute of the Head of the Faculty of Electrical and Computer Engineering, University of Iceland

Abstract:
Hyperspectral images (HSIs) acquired by hyperspectral imaging sensors contain hundreds of spectral bands. The spectral information provided by an HSI makes it possible to discriminate materials in a scene. HSIs are used in various fields, such as agriculture, mineral exploration, and environmental protection. However, due to the influence of photon effects, atmospheric absorption, and sensor disturbance, HSIs are corrupted by different noises such as quantization noise, thermal noise, and shot noise. Also, the high-dimensionality and spectral variability of HSIs make dimensionality reduction and feature extraction challenging. Fortunately, HSI can be dimensionality-reduced and represented in a low-dimensional subspace. This property can be exploited for developing HSI denoising algorithms. The thesis develops several denoising and feature extraction methods for HSI to improve HSI applications. These methods are sparse and low-rank, and most of them use some regularization.

About the doctoral candidate:

Bin Zhao received his bachelor degree in Remote Sensing Science and Technology (Dual Degree in International Economics and Trade), in June 2014 from Shandong Agricultural University. He received his master degree in hyperspectral remote sensing image processing in June 2017 from the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, University of Chinese Academy of Sciences. He started his PhD study in the Faculty of Electrical and Computer Engineering from the University of Iceland in January 2018.