Sudipan Saha recieved the “FBK Best PhD Student Award 2020”. The FBK Best Student Award is a prestigious recognition awarded each year to the student with the most outstanding achievements. The price was awarded during the FBK PhD day by Bernando Magnini, Director of the FBK International PhD Program, with the citation “For the excellent scientific contribution in the field of remote sensing. Specifically for the innovative use of deep learning applied to the analysis of multitemporal images, which has significantly contributed to advance the state of the art in the field.”

A figure from “Change Detection in VHR SAR Images via Unsupervised Deep Transcoding” by S. Saha, F. Bovolo, L. Bruzzone has been selected for the cover of the March 2021 issue of the IEEE Transactions on Geoscience and Remote Sensing.
The cover illustrates building change detection in Very High Resolution (VHR) Synthetic Aperture Radar (SAR) images using unsupervised deep transcoding. The images are corresponding to an area around the Department of Engineering and Computer Science, University of Trento, Trento, Italy. New buildings of varied sizes were built up in the site between 2011 and 2013/2014, which can be seen in (a) Pre-change (2011) and (b) Post-change (2014) optical images. RGB multitemporal composition of spotlight TerraSAR-X and TanDEM-X images (R: April, 2013; G: January, 2011; and B: April, 2013) is shown in (c). Changed buildings detected by an existing method is shown in (d). Results obtained by the unsupervised deep transcoding based method are shown in the bottom row: (e) Increase and decrease of deep feature space and (f) Detected changed buildings. For more information please refer to the manuscript.