Remote Sensing and Photo Interpretation

Course Code: IC3108 • Study year: III • Academic Year: 2024-2025
Domain: Civil Engineering • Field of study: Architecture and town planning
Type of course: Compulsory
Language of instruction: Romanian
Erasmus Language of instruction: English
Name of lecturer: Levente Dimén
Seminar tutor: Levente Dimén
Form of education Full-time
Form of instruction: Lecture
Number of teaching hours per semester: 42
Number of teaching hours per week: 3
Semester: Autumn
Form of receiving a credit for a course: Grade
Number of ECTS credits allocated 4

Course aims:

The 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.
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
Tran students in operating with satellite imagery
Primary and secondary data collection

Course Entry Requirements:


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

Teaching methods:

LecturesLaboratory activity

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

Learning outcomes verification and assessment criteria:

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:

N. M. Short, Tutorial – Remote sensing- Theoretical, and Technical Perspectives of Remote Sensing; Special Applications–-,, New york, 2004,
Baxes, Gregory A, Digital Image Processing: Principles and Applications.Chapter 4, Image Enhancement and Restoration, John Wiley and Sons. pp.., New York, 1994, 69-122.
Lillesand T.M., Kiefer R.W., Remote Sensing and Image Interpretation, John Wiley & Sons, Inc., 1994),
Imbroane A, Moore D, Remote sensing-Introduction 2000, Presa clujeana, Cluj Napoca, 2000,
CCRS, Canadian centre for remote sensing – Tutorial –Fundamentals of Remote sensing,,,