University of Genoa > DITEN Department > IPRS Lab > PRIN 2012 Project

Very High Spatial and Spectral Resolution Remote Sensing

A Novel Integrated Data Analysis System

Description | People | Reports | Software | Publications | Contacts

The Project in a Nutshell

The "Very high spatial and spectral resolution remote sensing: a novel integrated data analysis system" project, funded by the Italian Ministry of Education, University, and Research within the PRIN 2012 program aims at providing the remote sensing community with novel methods and tools for image analysis at very high resolution in either the spatial or the spectral domain.

The pervasive use of information and communication technologies (ICT), as tools to increase the effectiveness and efficiency of human activities, and an increasing attention toward the environment, security, and quality of life of citizens are among the distinctive characteristics of advanced countries.

The moderate spatial and spectral resolutions of satellite images available in the last decades substantially limited their applications. Presently, the technological scenario is dramatically changing thanks to a new generation of sensors that acquire images with very high spatial resolution (up to 30 cm) and very high spectral resolution (up to 10 nm and 2 nm for spaceborne and airborne sensors, respectively). These data opens the possibility of new challenging applications of great social impact, such as high precision damage assessment after natural disasters, precision farming, urban monitoring (up to the detail of single buildings), infrastructure analysis, surveillance of ports and airports.

However, this technological ground-breaking improvement can be transferred into operational systems only by developing a new generation of data analysis techniques.
This is the scenario addressed by this project, with focus on the development and experimental validation of methods and processing chains for the following strategic and challenging problems:

The project involves 5 remote sensing, image processing, and telecommunication labs (research units) in Italian universities. The theoretical bases of the proposed algorithms stem from random process theory, pattern recognition, and remote sensing.
A software collection integrating the techniques developed by these labs within the project, is released to the international scientific community for research, benchmarking, and didactic purposes.

Project Team and Research Units

Logo University of Genoa

University of Genoa >Dept. of Electrical, Electronic, Telecommunication Engineering and Naval Architecture

Prof. Sebastiano B. Serpico, project and research unit coordinator
Dr. Gabriele Moser
Dr. Michaela de Martino
Mr. Andrea De Giorgi
Ms. Serena Ponte

Logo University of Naples

University of Naples “Federico II” >Dept. of Electrical Engineering and Information Technology

Prof. Gianni Poggi, research unit coordinator
Dr. Giuseppe Scarpa
Dr. Luisa Verdoliva
Mr. Luca D’Amiano

Logo University of Pavia

University of Pavia >Dept. of Industrial and Information Engineering

Prof. Paolo Gamba, research unit coordinator
Dr. Gianni Cristian Iannelli

Logo University of Pisa

University of Pisa >Dept. of Information Engineering

Prof. Giovanni Corsini, research unit coordinator since September 1, 2015
Prof. Marco Diani, research unit coordinator until August 31, 2015
Dr. Nicola Acito

Logo University of Trento

University of Trento >Dept. of Information Engineering and Computer Science

Prof. Lorenzo Bruzzone, research unit coordinator
Dr. Claudia Paris
Mr. Manuel Bertoluzza
Mr. Massimo Zanetti

Project Reports

Four project reports have been produced on the conducted research, development, and validation activities:

► Click here to register and download the reports

Released Software

The following source codes, developed within the project, are made available for free for research, didactic, and benchmarking purposes:

► Click here to register and download the code

Publications from the Project

International Journal Papers

International Conference Papers


Prof. Sebastiano B. Serpico
University of Genoa, DITEN Dept., Via Opera Pia 11a, 16145 Genoa, Italy
Phone: +39 010 353 2752
Fax: +39 010 353 2134


To request the software code or the reports, click here to proceed to registration.
By submitting the registration form, users acknowledge that they agree to the following terms and conditions: