REMOTE SENSING METHODS AND TECHNOLOGIES
Academic year2016/17
CourseTELECOMMUNICATIONS ENGINEERING
Code291II
Credits6
PeriodSemester 1
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| METODI E TECNOLOGIE PER IL TELERILEVAMENTO | ING-INF/03 | LEZIONI | 60 | |
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Knowledge
The student who successfully completes the course will be able to demonstrate a solid knowledge of the main issues related to the methodologies of remote sensing.
with emphasis on those aspects strictly related to optical and radar technologies. He or she will acquire ability in dealing with mapping of physical quantities (temperature, optical active components of water, radar backscattering coefficient).
The student will also be aware of the basic principles of the remote sensing systems design. He or she will acquire fundamental knowledge of methods for high resolution radar images (SAR)reconstruction and of the algorithm for multidimensional image analysis.
Assessment criteria of knowledge
During the oral exam, the student will be assessed on his/her ability in discussing the main course contents with competence, critical awareness and propriety of expression.
Methods:
- Final oral exam
- Final laboratory practical demonstration
Further information:
The final test is by a laboratory computer exercise followed by an oral exam.
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- individual study
- Laboratory work
Attendance: Advised
Teaching methods:
Syllabus
This course is intended to provide the student with a introduction to remote sensing imaging systems.The course covers the study of radiometry, with emphasis on
the model of the radiative transfer in atmosphere. Physical optics is introduced to illustrate the main design issues of optical systems.
Fundamental methods for mapping of physical quantities from remotely sensed data are presented and discussed. Earth observation methodologies based on Synthetic Aperture radar (SAR) are presented and discussed with emphasis on design issues of image reconstruction processing chain.
Further activities: MATLAB computer exercises are included to process remotely sensed multi-spectral data and to simulate image reconstruction processing of European Mission SAR data.
Bibliography
R.A. Schowengerdt - Remote Sensing:
Models and Methods for Image Processing - Academic Press, Aug 28, 2006.
J. C. Curlander, R. N. McDonough -
Synthetic Aperture Radar: Systems and Signal Processing - Wiley, Nov 26, 1991
Work placement
MATLAB computer exercises are included to process remotely sensed multi-spectral data and to simulate image reconstruction processing of SAR data.
Updated: 14/11/2016 17:27
