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Posts By / Massimo Santoni

  • Mar 11 / 2022
  • News

New test of the ENVISION SRS antenna

A model of the candidate antenna for SRS  – Subsurface Radar Sounder (Principal Investigator: Prof. Lorenzo Bruzzone) has been recently tested by SENER in Spain. The test consisted in suspending the SRS antenna and a full-sized mockup of the EnVision spacecraft…
  • Feb 18 / 2022
  • News

Stefano Paterna got PhD

On Thursday February 17, Stefano Paterna successfully defended his PhD Thesis on “Advanced Methodologies for Planning and Scheduling Payload Operations for Planetary Exploration Missions”.…
  • Sep 20 / 2021
  • News

New H2020-MSCA-IF project at RSLab

The H2020-MSCA-IF project MCAPEFA (Low-cost multispectral camera for Precision Farming Application) has started at Remote Sensing Laboratory of the University of Trento (RSLab UniTrento). The project’s aim is to improve the adoption of precision farming in small…

Top ranking in Computer Science and Electronics

Prof. Lorenzo Bruzzone  is ranked 3rd at Italian level and 393rd worldwide in the Guide2Research Top Scientists Ranking  in the field of Computer Science and Electronics. He leads in the ranking the Univeristy of Trento, contributing to the third place in Italy…
  • May 19 / 2021
  • News

Making JUICE Mission – Episode 4

The development of the JUICE mission (for which RSLab has the responsibility of the RIME instrument) is progressing fast despite the pandemic situation. This video shows the arrival of the spacecraft at ESTEC for the start of the one year long testing campaing.…

Best PhD Thesis Award

Daniele Marinelli received the award for the Best Italian PhD Theses on Geoscience and Remote Sensing by the Italian Chapter of the IEEE Geoscience and Remote Sensing Society.…
  • Jan 08 / 2021
  • 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. Some relevant numbers are as follows:…

Moon Caters and Artificial Intelligence on Nature

A new Moon crater database has been generated 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, dozens of times larger than…