Affiliation: Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Germany
Lecture Title: Deep feature extraction and classification for hyperspectral imagery
Bio: Behnood Rasti (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees both in electronics-electrical engineering from the Electrical Engineering Department, University of Guilan, Rasht, Iran, in 2006 and 2009, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Iceland, Reykjavik, Iceland, in 2014. In 2015 and 2016, he worked as a Post-Doctoral Researcher and a Seasonal Lecturer with the Electrical and Computer Engineering Department, University of Iceland. From 2016 to 2019, he has been a Lecturer with the Center of Engineering Technology and Applied Sciences, Department of Electrical and Computer Engineering, University of Iceland. His research interests include signal and image processing, machine/deep learning, remote sensing image fusion, hyperspectral feature extraction and classification, spectral unmixing, remote sensing image denoising, and restoration.