Course IG3101 · Year III · Autumn 2019-2020

Remote Sensing and Photo Interpretation

Compulsory course in Earth and cadastral measurements, taught by Levente Dimén.

This course page is from 2019-2020 and is archived.
See this course for the current academic year

Overview

Lecturer
Levente Dimén
Seminar tutor
Levente Dimén
Type of course
Compulsory
Language of instruction
Romanian
Erasmus language
English
Domain
Geodetic engineering
Field of study
Earth and cadastral measurements
Form of education
Full-time
Form of instruction
Lecture
Credit awarded by
Grade
Teaching methods
lectures and Lab activity
Entry requirements
Phisics

Aims

Collection of data by a sensing device not in contact with the object being sensed, and the evaluation of the collected data, which is then termed information and is presented in map form or as statistics

he aim of environmental remote sensing is to utilize sensors, which are mounted on aerial platforms, to identify and/or measure parameters of an object according to variations in the electromagnetic radiation (EMR) emitted by, or reflected from the object.

The amount of electromagnetic energy emitted is a function of the object's temperature - as temperatures increase, the intensity of the radiation emitted increases.

Tran students in operating with satellite imagery

Course contents

Satellites (missions, description, classification, coding), Image analysis, Visual interpretation basic elements of remote sensing, terminology Earth's magnetic field - Clarke's belt, Spectral bands Satellite types with dedicated mission Preprocessing, processing, filtering, classification Image features, Image integration, Applications Digital processing, Visual interpretation of images, Thematic interpretation Histograms of images - increasing the clarity of images Editing satellite images, Referencing and geometric correction of satellite images Mosaic satellite images Mathematical operations on satellite images. Filtering satellite images High pass, Low pass, edge detection, filtering kernels Classification of satellite images. Supervised classification Unsupervised classification

Learning outcomes

Use of the specific programs for the ground measurements, interpretation of the obtained results and automatic drafting of the thematic topographic plans Use of the basic concepts, theories and methods for performing the morphographic and morphometric analyzes

Assessment

Exam at least 2 test subjects - written examination (60% of the final grade) Test of the lab - practical (40% of the final grade)

Recommended reading

Tutorial – Remote sensing- Theoretical, and Technical Perspectives of Remote Sensing; Special Applications–- www.rst.gsfc.nasa.gov/Front/tofc.html
N. M. Short
www.rst.gsfc.nasa.gov/Front/tofc.html, New york, 2004
Digital Image Processing: Principles and Applications.Chapter 4, Image Enhancement and Restoration
Baxes, Gregory A
John Wiley and Sons. pp.., New York, 1994
Remote Sensing and Image Interpretation
Lillesand T.M., Kiefer R.W.
John Wiley & Sons, Inc., New york, 1994)
Remote sensing-Introduction 2000
Imbroane A, Moore D
Presa clujeana, Cluj Napoca, 2000