Remote Sensing

Ingegneria Informatica Remote Sensing

0622700015
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE ED ELETTRICA E MATEMATICA APPLICATA
EQF7
COMPUTER ENGINEERING
2017/2018

YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2016
SECONDO SEMESTRE
CFUHOURSACTIVITY
432LESSONS
18EXERCISES
18LAB
Objectives
THE COURSE AIMS TO PROVIDE THE ELEMENTS TO COMPREHEND AND UTILIZE THE METHODS EXPLOITED IN REMOTE SENSING AND TO OUTLINE ITS MAIN APPLICATIONS
KNOWLEDGE AND UNDERSTANDING: REMOTE SENSING SYSTEMS; CLASSIFICATION METHODS; IMAGE PROCESSING
APPLIED KNOWLEDGE AND UNDERSTANDING: ANALYSIS OF RADAR SYSTEMS AND SATELLITE SYSSTEMS; FEATURE EXTRACTION; APPLICATIONS TO ENVIRONMENTAL CONTROL
MAKING JUDGEMENT: TO SELECT METHODS FOR IMAGE PROCESSING AND SCENE CLASSIFICATION: TO ASSESS COMPARATIVELY THE PERFORMANCE OF REMOTE SENSING SYSTEMS
COMMUNICATION SKILLS: TO WORK IN TEAMS; TO DISCUSS ABOUT TECHNICAL AND THEORETICAL QUESTIONS; TO REPORT CORRECTLY THE SOLUTION:OF A DECISION AND/OR CLASSIFICATION PROBLEM
LAERNING SKILLS: TO BE ABLE TO APPLY THE ACQUIRED METHODS TO DIFFERENT CONTEXTS; TO
Prerequisites
FOR THE SUCCESSFUL ACHIEVEMENT OF THE OJECTIVES BASIC METHODOLOGICAL TOOLS IN MATHEMATICS AND STATISTICS ARE REQUIRED, AS WELL AS THE FUNDAMENTALS OF DIGITAL SIGNAL PROCESSING
Contents
ELECTROMAGNETIC RADIATION; EM SPECTRUM; INTERACTIONWITH TARGET AND ATMOSPHERE; RS ACTIVE VS PASSIVE
SENSORS: GROUND BASED, AIRBORNE, SPACEBORNE, SATELLITE ORBIT, EARTH OBSERVATION, OCEAN OBSERVATION
REOLUTION: SPATIAL (PIXEL AND SCALE), SPECTRAL, RADIOMETRIC, TEMPORAL,
CAMERAS AND AREIAL PHOTOGRAPHS; MULTISPETRAL SCAN; THERMAL IMGING; GEOMETRICAL DISTORSION AND CORRECTION.
MICROWAVE RS: RADAR FUNDAMENTALS; GEOMETRY VS SPATUIAL RESOLUTION; IMAGE DISTORSION; INTERACTION WITH TARGET; SPECKLE (STATISTICAL CHARACTERIZATION; REDUCTION); POLARIMETRIC RADAR.
SAR: FUNDAMENTALS, GEOMETRY, PROCESSING; EXAMPLES OF AIRBORNE AND SPACEBORNE SAR; MODES (STRIPMAP, SPOTLIGHT, SCANSAR)
SAR INTERFEROMETRY: RANGE AMD ANGLE RESOLUTION, IMPULSE RESPONSE, RANGE MIGRATION, PROCESSING (RANGE COMPRESSION, MIGRATION COMPENSATION, AZIMUTH COMPRESASION, MOTION COMPENSATION)
IMAGE PROCESSING: MOISE REDUCTION, CONTRAST ENHANCEMENT, SPATIAL FILTERING, SPATIAL FOURIER TRANSFORM.
MULTI-IMAGE PROCESSING: SPECTRAL RATIOING, PRINCIPAL COMPONENTS, IHS TRANSFORM
MULTI-TEMPORAL ANALYSIS: CHANGE DETECTION, MULTI-SENSOR DATA FUSION
SUPERVISED AND UNSUPERVISED CLASSIFICATION
INTRODUCTION TO IDL DATA TYPES, ARRAY, MATRICES, OPERATORS, FUNCTIONS, PROCEDURES, CONTROL STRUCTURES), INTRODUCTION TO ENVI
LABORATOTY IN A GROUND STATION (HARDWARE AND MAIN OPERATIONS: CALIBRATION, TRACKING, DATA ACQUISITION AND ARCHIVIATION)
Teaching Methods
THE COURSE INCLUDES THORETICAL LECTURES AND CLASSROOM EXERCISES. SOME COMPUTER ASSISTED EXERCISES ARE DEVOTED TO LANGUAGES FOR IMAGE PROCESSING (IDL, ENVI). LABORATORY PRACTICES ARE DEVELOPED IN A GROUND STATION (RESLEHM CENTER)
Verification of learning
THE GOAL OF THE FINAL EXAM IS, FIRST , THE EVALUATION OF THE KNOWLEDGE AND UNDERSTANDING OF THE CONCEPTS PRESENTED IN THE COURSE AND, SECOND, THE PERSONAL JUDGEMENT, THE COMMUNICATION SKILLS AND THE LEARNING ABILITIES.
THE FINAL EXAM CONSISTS OF A DISCUSSION ON A PROJECT WORK (MAY BE A GROUP WORK) AND AN ORAL INTERVIEW:

THEDISCUSSSION ABOUT THE PROJECT WORK IS AIMED TO ASCERTAIN THE CAPACITY TO APPLY THE SIGNAL AND IMAGE PROCESSING METHODS PRESENTED IN THE COURSE TO SOME TYPICAL REMOTE SENSING PROBLEM.

THE ORAL INTERVIEW AIMS TO ASSESS THE ACQUIRED KNOWLEDGE ALSO ON THE TOPICS NOT COVERED BY THE PROJECT. THE ORAL EXPOSITION AND THE MATHEMATICAL ARGUMENTS ARE CREDITED WITH HIGHER SCORES.

CONCERNING THE FINAL SCORE, EXPRESSED OUT OF THIRTY, THE PROJECT CONTRIBUTES FOR 40% WHILE THE ORAL INTERVIEW FOR 60%. FULL MARKS WITH DISTINCTION MAY BE GIVEN TO STUDENTS WHO DEMONSTRATE THAT THEY CAN APPLY THE ACQUIRED KNOWLEDGE WITH CONSIDERABLE AUTONOMY TO EXERCISES AND THEORETICAL ISSUES. IN CASE OF NO PASS, THE PROJECT WORK CAN BE SAVED TOWARD THE REPETITION OF THE EXAM.




Texts
LK: T.M: LILLESAND, R.W.KIEFER: REMOTE SENSING AND IMAGE INTERPRETATION, J. WILEY, 1994
CCRS: FUNDAMENTALS OF REMOTE SENSING WEB TUTORIAL HTTP://CCRS.NRCAN.GC.CA/RESOURCE/TUTOR/FUNDAM/INDEX_E.PHP
J: A.K. JAIN: FUNDAMENTALS OF DIGITAL SIGNAL PROCESSING, PRENTICE HALL, 1989
OQ: C. OLIVER- S- QUEGAN: UNDERSTANDING SYNTHETIC APERTURE RADAR IMAGES, ARTECH HOUSE, 1998
More Information
THE LECTURES ARE OFFERED IN ITALIAN. TEXBOOKS AND REFERENCE MATERIAL ARE TYPICALLY IN ENGLISH.
  BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2019-05-14]