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RSLab News

RSLab Numbers in 2020
Despite this complex situation, RSLab achieved important research results in 2020 on both Earth Observation and Planetary Exploration and the related topics.
08-01-2021
Moon Caters and Artificial Intelligence on Nature
RSLab is part of a research that generated a new Moon crater database by using advanced deep learning and transfer learning methodologies applied to lunar images.  More than 109,000 previously unrecognized craters have been identified on the Moon’s surface.
24-12-2020
IEEE Featured Author
Lorenzo Bruzzone has been selected as "Featured Author" from the Institute of Electrical and Electronic Engineering (IEEE). His profile is one of the three highlighted in the home page of the IEEExplore (the IEEE publications website). IEEE is the most
18-12-2020
Making JUICE Mission – Episode 3
The development of the JUICE mission (for which RSLab has the responsibility of the RIME instrument) is progressing fast despite the pandemic situation. A video showing the activities in progress at spacecraft level can be found here.
16-12-2020
RSLab @Top of World Ranking of Scientists
Lorenzo Bruzzone and Francesca Bovolo are in the top most cited researchers worldwide according to “World Ranking of Scientists” . Lorenzo Bruzzone is in the top 0.4 % of the most cited scholars on the number of published papers and
08-12-2020
RIME PFM is ready!
Thales Alenia Space recently delivered the Radar for Icy Moon Exploration (RIME) that will explore Jupiter’s icy moons Europa, Ganymede and Callisto onboard the ESA’s JUICE mission.
29-11-2020
Valuable Remote Sensing: RSLab on the Media
On November 12, 2020 Francesca Bovolo attended “Senti che Scienza” on the topic “Remote sensing to study the Earth evolution”. “Senti che scienza” runs every Thursday on Radio Dolomiti (regional radio channel)  within “pianoM” program. It tells about research activities
13-11-2020
RSLab at the Top in the 2020 Gaofen Challenge
A team led by Ding Lei (PhD student at RSLab)  won the 2nd place in the '2020 Gaofen Challenge on Automated High-Resolution Earth Observation Image Interpretation' in the subject 'Automatic Classification of PolSAR Images'. This competition was held by the
02-11-2020
Akshara Preethy Byju got PhD
On Tuesday Ocotber 20th, Akshara Preethy Byju succesfully defended her PhD Theses on "Advanced Methods for Content Based Image Retrieval and Scene Classification in JPEG 2000 Compressed Remote Sensing Image Archives". The defense was done in teleconference due to the
24-10-2020