Prof. José Bioucas Dias
Instituto de Telecomunicações do Instituto Superior Técnico da Universidade de Lisboa
Multiband Image Restoration in Remote Sensing
Resumo: Remote sensing images of the earth, oceans, atmosphere, and space acquired by onboard imaging instruments are at the heart of Earth monitoring and understanding. Fostered by technological advances in various fronts, the wealth and quality of the remotely sensed images from diverse regions of the electromagnetic spectrum have increased at a huge rate, enabling the extraction of vital information for various remote sensing purposes.
However, several degradation mechanisms prevent the direct extraction of useful information from the images, calling for sophisticated restoration methods. The degradation mechanisms include, namely, low spatial resolution, undersampling, noise of various types, and atmospheric effects. The tackling of these difficulties corresponds to a suite of inverse problems that are currently on the remote sensing research agenda, namely denoising, deconvolution, super-resolution, and fusion. Compressive acquisition is a related theme which, although not originated in a degradation mechanism, can also be interpreted as a restoration problem.
The talk is focused on the following multiband imaging restoration problems appearing namely in hyperspectral and multispectral imaging: denoising, deconvolution, super-resolution, fusion, and compressive acquisition. Although these four problems are different in their details, they share a common objective: to restore original images from degraded versions. For each restoration problem, the underlying mathematical problem is formulated under variational and Bayesian frameworks and the available solutions, ranging from classical to state-of-the-art, are summarized characterized, and compared. Image restoration examples applied to simulated and real data will be provided.
The presentation is designed for students with interest in signal and image processing and focus on motivation and awareness of the different backgrounds (image processing, optimization, inference) supporting the topic of Image Restoration.
José Bioucas-Dias received the EE, MSc, PhD, and Habilitation degrees in electrical and computer engineering from Instituto Superior Técnico (IST), Universidade Técnica de Lisboa (now Universidade de Lisboa), Portugal, in 1985, 1991, 1995, and 2007, respectively. Since 1995, he has been with the Department of Electrical and Computer Engineering, IST, where he is an Associate Professor and teaches inverse problems and electric communications. He is also a Senior Researcher with the Pattern and Image Analysis group of the Instituto de Telecomunicações, which is a private non-profit research institution.
His research interests include inverse problems, signal and image processing, pattern recognition, optimization, and remote sensing. Dr. Bioucas-Dias has authored or co-authored more than 300 scientific publications including more than 90 journal papers and 210 peer-reviewed international conference papers and book chapters. He is an IEEE Fellow, is included in Thomson Reuters' Highly Cited Researchers 2015 list, and received the IEEE-GRSS David Landgrebe Award for 2017.
Dr. Bioucas-Dias was an Associate Editor for the IEEE Transactions on Circuits and Systems (1997-2000) and IEEE Transactions on Image Processing (2010-2014) and he is a Senior Area Editor for the IEEE Transactions on Image Processing and an Associate Editor for the IEEE Transactions on Geoscience and Remote Sensing. He was a Guest Editor for 6 special issues of IEEE journals (IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2), IEEE Signal Processing, IEEE Journal of Selected Topics in Signal Processing, IEEE Geoscience and Remote Sensing Magazine). He was the General Co-Chair of the 3rd IEEE GRSS Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote sensing (WHISPERS'2011) and has been a member of program/technical committees of several international conferences.