Università degli Studi di Napoli "Parthenope"

  1. Teaching
  2. INFORMATION AND COMMUNICATION TECHNOLOGY ENGINEERING
  3. REMOTE SENSING AND ELECTROMAGNETIC DIAGNOSTICS

Stampa

REMOTE SENSING AND ELECTROMAGNETIC DIAGNOSTICS

Teaching schedule

Academic year: 
2015/2016
Belonging course: 
Course of Master's Degree Programme on INFORMATION AND COMMUNICATION TECHNOLOGY ENGINEERING
Location: 
Napoli
Disciplinary sector: 
ELECTROMAGNETIC FIELDS (ING-INF/02)
Credits: 
9
Year of study: 
2
Teachers: 
Ing. MIGLIACCIO Maurizio
Cycle: 
First Semester
Hours of front activity: 
72

Language

Course description

The modelling physical principles at the basis of remote sensing and the cornerstones of a remote sensing chain (from measurement to added value product) are at the core of the course. Special emphasis is paid to microwave remote sensing.

Learning outcomes (according to the Dublin descriptors)
#1: Knowledge and understanding. Describing the case studies and conceiving logical chains related to microwave remote sensing problems involving measurements, electromagnetic modelling and inversion.
#2: Applying knowledge and understanding. Develop skills to deal with interdisciplinary problem solving cases.
#3: Making judgements.
Develop skills to evaluate the pros and cons of the solution selected for the remote sensing applications.
#4: Communication skills.
Develop skills in presenting in short time, logically and effective the key concepts of the course to specialists.
#5: Learning skills. Autonomous and critical learning skills.

Prerequisites

None

Syllabus

Introduction:
Physical basics. Electromagnetic spectrum. Active and passive sensors. Resolutions.
Microwave Radiometry:
The satellite missions. The Planck’s, Wien’s and Rayleigh-Jeans’ laws. Power-temperature correspondence. Grey body emission, Brigthness temperature. Real body Brigthness temperature. Apparent Temperature, Antenna Temperature. Radiometric measurement model. Radiative transfer theory: extintion, emission; differential equation and its formal solution. Realist case study without volumetric scattering. Volumetric scattering. Rain case.
Polarimetry:
Wave Polarimetry. Jones and Stokes vectors. Partially polarized waves. DoP and Hw. Poincarè sphere. W matrix. Wave dichotomy. Scattering polarimetry: S, M, K, T and C. The Cloude-Pottier decomposition theorem. H, A and alpha parameters.
Electromagnetic models:
Natural surfaces. Radar Equation. Fading. The NRCS. NRCS vs roughness and dilectric constant. Coherent and inchoerent scattering. Bragg scattering. Sea surface spetrum. Maxwell-Garnett formula. Scattering integral. SPM and Kirchhoff approximations. The two-scale model.
Linear inverse problem:
Conditioning number. Penrose pseudo-inverse. Well-posed problem according Hadamard. Regularization. TSVD. Resolution enhancement for scanning microwave radiometers.
Remote sensing radars:
Key facts. Cosine and linear chirp pulses. Doppler effect. Geometric distortion. The Real Aperture Radar (RAR). Atmospheric influence.
Scatterometer:
The satellite missions. Fan-beam and pencil-beam scatterometers. Physical principle for estimating the sea surface wind field. Spatial resolution effect. CMOD model. The GMF to estimate the wind field. Cramer-Rao estimation bounds. On the inversion.
SAR:
The satellite missions. Iso-Doppler, iso-range curves. Azimuth and range resolutions. SAR raw signal processing (stripmap, range-Doppler approximation). Speckle. Atmosphere influence. SAR interferometry: different modes and goals.
Radar altimeter:
The satellite missions. Physical principles. The electromagnetic and the Brown models. Role of the atmosphere: troposphere and ionosphere. Dual-frequency radar altimeters. Applications.

Teaching Methods

Textbooks

-Lecture notes.
The educational material for the student is available on the e-learning site edi.uniparthenope.it (the access is limited to students and needs a password)

Learning assessment

More information