Luca Bergamasco received the 2023 “Frank Marzano” award for the Best Italian PhD Theses on Geoscience and Remote Sensing by the Italian Chapter of the IEEE Geoscience and Remote Sensing Society.
On April 4, Khatereh Meshkini succesfully defended her PhD Thesis on “Advanced Methods for Land Cover Mapping and Change Detection in High Resolution Satellite Image Time Series”.…
On March 25, Miguel Hoyo Garcia succesfully defended his PhD Thesis on “Novel Methods for Information Extraction and Geological Product Generation from Radar Sounder Data”.…
On Thursday June 9, Luca Bergamasco succesfully defended his PhD Theses on “Advance Deep-Learning Methods for Multi-temporal Remote-Sensing image analysis”.…
Elena Donini and Gianmarco Perantoni received the award for the Best Italian PhD and Master Theses on Geoscience and Remote Sensing by the Italian Chapter of the IEEE Geoscience and Remote Sensing Society.
Milad Niroumand-Jadidi recieved the Best Young Author Award by International Society for Photogrammetry and Remote Sensing (ISPRS) for the paper “Water quality retrieval and algal bloom detection using high-resolution CubeSat imagery” presented at the…
On Thursday May 6, Elena Donini succesfully defended her PhD Theses on “Advanced methods for simulation-based performance assessment and analysis of radar sounder data”.…
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,…
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.…
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Strictly Necessary Cookies
Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.
Additional Cookies
This website uses the following additional cookies:
Cookie Name
Default expiration time
Description
_ga
2 years
Used to distinguish users.
_gid
24 hours
Used to distinguish users.
_gat
1 minute
Used to throttle request rate. If Google Analytics is deployed via Google Tag Manager, this cookie will be named _dc_gtm_<property-
id>.
AMP_TOKEN
30 seconds to 1 year
Contains a token that can be used to retrieve a Client ID from AMP Client ID service. Other possible values indicate opt-out, inflight request or an error retrieving a Client ID from AMP Client ID service.
_gac_<property-id>
90 days
Contains campaign related information for the user. If you have linked your Google Analytics and Google Ads accounts, Google Ads website conversion tags will read this cookie unless you opt-out. Learn more.
Please enable Strictly Necessary Cookies first so that we can save your preferences!