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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 094788 - GEOPHYSICAL AND RADAR IMAGING
  • 094787 - RADAR IMAGING
Docente Monti-Guarnieri Andrea Virgilio
Cfu 5.00 Tipo insegnamento Modulo Di Corso Strutturato

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (474) TELECOMMUNICATION ENGINEERING - INGEGNERIA DELLE TELECOMUNICAZIONI*AZZZZ094788 - GEOPHYSICAL AND RADAR IMAGING
094790 - RADAR IMAGING
Ing Ind - Inf (Mag.)(ord. 270) - MI (476) ELECTRONICS ENGINEERING - INGEGNERIA ELETTRONICA*AZZZZ094790 - RADAR IMAGING

Obiettivi dell'insegnamento

Objective of the course is to provide a knowledge of the use of Electro-Magnetic for imaging over the wide spectrum, from Radar to infrared, Lidar and Optics/Hyperspectral, with methods, devices, processing and applications. Imaging principle like sensors, calibration, scanning, resolution, quality evaluation are primary objective as well as understanding which specific applications can be accessed. In particular, Radar is unique in measuring and locating moving targets, like vehicles (anti-collision), sensing slight deformations (infrastructure stability, ice motion, ocean waves), penetrating trough clouds, forests, ice, and even walls, sensing moisture and surface roughness (crop yields, irrigation, oil slick). The scope will be both ground based, indoor and automotive and remote sensing, from airplanes or drones and satellites. Both passive and active systems will be presented. The course will also teach how to get data remote sensing data from space agency and image providers, and how to use, interpret and integrate data in a Geographic Information System, be that Google Earth of QGIS.


Risultati di apprendimento attesi

Dublin Descriptors

Expected learning outcomes

1 - Knowledge and understanding

Students will gain clear understanding about:

  • the physics behind electromagnetic remote sensing technologies
  • sensors principles, with attention to distributed sensors and sensors arrays
  • signal processing methods for the treatment of electromagnetic remote sensing data
  • specific properties of Radar, Lidar, Optical images, and the possible applications

2 - Applying knowledge and understanding

Students will be able to:

  • Design a  Radar and remote sensing  survey
  • Define a data processing flow chart for processing Radar data.
  • Simulate electromagnetic acquisitions and process them using Matlab
  • Get remote sensing data from image providers/space agencies, integrate and process in a GIS

3 - Making judgements

Students will be able to:

  • Understand the principles that govern the design of Radar remote sensing systemsDefine a data processing flow chart for processing Radar data.
  • Identify pros and cons associated with use of different remote sensing technologies and data processing algorithms
  • Recognize the design space and its degrees of freedom that can be exploited to define new technologies

4 - Communication

Students will learn to:

  • Write a technical document on a specific case study (e.g.: design and implementation of a remote sensing survey, algorithm development, system analysis, etc.)

5-Lifelong learning skills

 

Students will learn to:

  • Manage a project, starting from definition of specfics, to solution development, validation and verification

Argomenti trattati

Introduction to remote sensing: Black body radiation: power spectrum, Plank, Wien, Boltzmann laws and applications. Radiance, brilliance and reflectance: Kirchhoff law. Coherent and un-coherent imaging: smart antennas and arrays, speckle.

Sensors,  methods and applications : from IR to visible: Sensors: Radiometers, multi-band spectrometers, optical and laser images. Remote sensing systems, from drones to satellites: acquisition, scanning, calibration, geocoding, detection, image generation and quality evaluation. Applications of high resolution imaging, use of spectral signatures, 3D reconstruction in agriculture, monitoring, weather.  Introduction to GIS tools. 

RADAR imaging: basics of EM propagation in the presence of isolated targets and continuous media; Wave polarization; Principles of Radar imaging and Diffraction tomography. Localization and ranging in 1D, 2D, and 3D. Resolution and ambiguities. Pulses (chirp). RADAR cross section and RADAR equation. Thermal noise in RADAR systems. Synthetic Aperture RADAR: geometric distortions, acquisition & focusing.  SAR Interferometry: phase unwrapping and noise source (coherence maps).

RADAR-based Earth Observation: Techniques; SAR imaging, SAR interferometry, polarimetry and tomography. Comparison with GNSS. Applications: generation of digital elevation model, moving target identification, classification, hazard monitoring (landslides, ground subsidence), monitoring of  infra-structures and building health, vertical profiling of natural media (ice sheets).


Prerequisiti

Introductory courses in signal processing and mathematics.


Modalità di valutazione

Oral exam with analysis or discussion of a case or project. The presentation can be given in italian or in english.


Bibliografia
Risorsa bibliografica obbligatoriaAndrea Monti-Guarnieri, Electromagnetic Imaging, Anno edizione: 2015 https://www.dropbox.com/s/zdych7eqn59w4er/appunti_EMI.pdf?dl=0
Risorsa bibliografica facoltativaA. Ferretti, A. Monti Guarnieri, C. Prati, F. Rocca, D. Massonnet, InSAR Principles: Guidelines for SAR Interferometry Processing and Interpretation, Editore: ESA TM-19

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
30:00
45:00
Esercitazione
14:00
21:00
Laboratorio Informatico
4:00
6:00
Laboratorio Sperimentale
2:00
3:00
Laboratorio Di Progetto
0:00
0:00
Totale 50:00 75:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
04/04/2020