Lecturer: Fabio Dell'Acqua  

Course name: Satellite data analysis
Course code: 505018
Degree course: Electronic Engineering
Disciplinary field of science: ING-INF/03
The course relates to:
University credits: ECTS 6
Course website: n.d.

Specific course objectives

This course has been conceived to teach the students a range of processing and analysis techniques commonly applied to remotely sensed data in various contexts. The students will learn how the different types of data can be handled and processed to reach the goal of extracting the information sought. The first two sections of the course will be devoted to optical and radar data analysis respectively, while the third section will be devoted to data fusion and to other advanced techniques.

Course programme

Processing and analysis of Optical Remotely Sensed Data

• Types of Optical Remotely Sensed Data and their characteristics
• Statistical analysis
• Spatial analysis
• Spectral analysis

Processing and analysis of Radar Remotely Sensed Data

• Types of Radar Remotely Sensed Data and their characteristics
• Statistical analysis
• Spatial analysis
• Polarimetric data and H / A / alfa analysis
• Multi-band analysis

Data fusion, information fusion, other techniques

• Data fusion and information fusion concepts
• Different types of data and information fusion
• Fusion with ancillary data / metadata integration
• Distributed collection of information / citizen sensor / crowdsourcing
• Big Data from Space

Course entry requirements

Course structure and teaching

Lectures (hours/year in lecture theatre): 45
Practical class (hours/year in lecture theatre): 0
Practicals / Workshops (hours/year in lecture theatre): 0

Suggested reading materials

Various authors. Land Applications of Radar Remote Sensing. InTech. Edited by Francesco Holecz, Paolo Pasquali, Nada Milisavljevic and Damien Closson, ISBN 978-953-51-1589-2, 318 pages. Chapters published June 11, 2014 under CC BY 3.0 license. DOI: 10.5772/55833 .

Testing and exams