Enrollment year
2013/2014
Academic discipline
ING-INF/03 (TELECOMMUNICATIONS)
Department
DEPARTMENT OF ELECTRICAL,COMPUTER AND BIOMEDICAL ENGINEERING
Course
ELECTRONIC ENGINEERING
Curriculum
SPACE COMMUNICATION AND SENSING
Period
1st semester (29/09/2014 - 16/01/2015)
Lesson hours
45 lesson hours
Activity type
WRITTEN AND ORAL TEST
Prerequisites
It is advisable to attend a basic remote sensing course before taking this course.=
Learning outcomes
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 contents
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
Teaching methods
Lectures (hours/year in lecture theatre): 45
Practical class (hours/year in lecture theatre): 0
Practicals / Workshops (hours/year in lecture theatre): 0
Reccomended or required readings
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 .
Assessment methods
Oral examination.
Further information
Oral examination.
Sustainable development goals - Agenda 2030