Special Lecture: PANSHARPENING: an overview and perspectives
Summary. Pansharpening refers to the fusion of a multispectral and a panchromatic image for generating a new multispectral image with the spatial resolution of the panchromatic acquisition. Pansharpening is a fundamental preliminary step in several remote sensing tasks (e.g., change detection, object recognition, visual image analysis, and scene interpretation), and it has been a very active area of research in the last decades.
This talk aims at presenting the pansharpening problem and giving the audience an overview of the main approaches that have been proposed by the scientific community for addressing this tasks. The talk will showcase a freely available Matlab toolbox including both classical and recent pansharpening algorithms, giving the audience to experience hands-on the approaches presented.
About the Speaker
Mauro Dalla Mura (S’08, M’11, SM’18) received the B.Sc. and M.Sc. degrees in Telecommunication Engineering from the University of Trento, Italy in 2005 and 2007, respectively.
He obtained in 2011 a joint Ph.D. degree in Information and Communication Technologies (Telecommunications Area) from the University of Trento, Italy and in Electrical and Computer Engineering from the University of Iceland, Iceland.
In 2011 he was a Research fellow at Fondazione Bruno Kessler, Trento, Italy, conducting research on computer vision.
He is currently an Assistant Professor at Grenoble Institute of Technology (Grenoble INP), France since 2012. He is conducting his research at the Grenoble Images Speech Signals and Automatics Laboratory (GIPSA-Lab). Dr. Dalla Mura has been appointed “Specially Appointed Associate Professor” at the School of Computing, Tokyo Institute of Technology, Japan for 2019-2022. His main research activities are in the fields of remote sensing, image processing and pattern recognition. In particular, his interests include multispectral and hyperspectral image processing, computational imaging and the analysis of geophysical signals.
Dr. Dalla Mura was the recipient of the IEEE GRSS Second Prize in the Student Paper Competition of the 2011 IEEE IGARSS 2011 and co-recipient of the Best Paper Award of the International Journal of Image and Data Fusion for the year 2012-2013 and the Symposium Paper Award for IEEE IGARSS 2014.
Dr. Dalla Mura is the IEEE GRSS Chapter’s Committee Chair since 2020. He was President of the IEEE GRSS French Chapter 2016-2020 (he previously served as Secretary 2013-2016). In 2017 the IEEE GRSS French Chapter was the recipient of the IEEE GRSS Chapter Award and the “Chapter of the year 2017” from the IEEE French Section. He is on the Editorial Board of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) since 2016.
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