Course Information
SchoolRural and Surveying Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorGeorgios Mallinis
Course ID20000922

Programme of Study: PPS Tmīmatos Agronómōn kai Topográfōn Mīchanikṓn (2025-sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS

Programme of Study: UPS of School of Rural and Surveing Engineering

Registered students: 128
OrientationAttendance TypeSemesterYearECTS
CoreCore Courses635

Class Information
Academic Year2016 – 2017
Class PeriodSpring
Faculty Instructors
Weekly Hours5
Class ID
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
Basic theoretical knowledge acquisition on related subjects. Instruction for solving classification, analysis and similar problems using Digital Image Processing software.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in an interdisciplinary team
  • Design and manage projects
  • Appreciate diversity and multiculturality
  • Respect natural environment
  • Demonstrate social, professional and ethical commitment and sensitivity to gender issues
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
History and general principles of Remote Sensing. Electromagnetic radiation and generally sensing systems. Photographic systems - Photointerpretation. Sensors and Sensing Platform. Digital processing of remotely sensed images. Radiometric errors - corrections. Geometric distortion - geometric transformations. Spectral and spatial image enhancement through radiometric transformations, filters, indices, Principal Component Analyis,. Patern Recognition and Classification of digital images. Hyperspectral sensors - hyperspectral images.
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
Laboratory Work13
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Assignment (Summative)
Course Bibliography (Eudoxus)
1. Αρχές και Εφαρμογές Δορυφορικής Τηλεπισκόπησης, Καρτάλης Κων/νος-Φείδας Χαράλαμπος
Additional bibliography for study
1. ΤΗΛΕΠΙΣΚΟΠΗΣΗ, 2010, Πανεπιστημιακές Παραδόσεις, Τσακίρη-Στρατή Μ., ΑΠΘ, σε ψηφιακή μορφή. 2. Παρουσιάσεις των διαλέξεων , οι οποίες αναπροσαρμόζονται κάθε χρόνο, παρουσιάσεις των ασκήσεων, Τσακίρη-Στρατή Μ., ΑΠΘ, σε ψηφιακή μορφή
Last Update