DIGITAL PROCESSING OF REMOTELY SENSED IMAGES

Course Information
TitleΨΗΦΙΑΚΗ ΕΠΕΞΕΡΓΑΣΙΑ ΤΗΛΕΠΙΣΚΟΠΙΚΩΝ ΕΙΚΟΝΩΝ / DIGITAL PROCESSING OF REMOTELY SENSED IMAGES
CodeΒ11
FacultyEngineering
SchoolRural and Surveying Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorGeorgios Mallinis
CommonNo
StatusActive
Course ID20000904

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

Registered students: 21
OrientationAttendance TypeSemesterYearECTS
Geodesy and SurveyingElective Courses745
Cadastre, Photogrammetry and CartographyCompulsory Courses745
Transportation and Hydraulic EngineeringElective Courses745
Class Information
Academic Year2024 – 2025
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours6
Class ID
600260857
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge on Remote Sensing
Learning Outcomes
Acquisition of theoretical knowledge on related issues. Learning and use of methods and specialized software for Digital Image Processing/Analysis sensing images. Remote sensing image processing through open source 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 teams
  • 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)
Digital Remote Sensing images. Practical exercise with application of digital remote sensing methodologies in a study area. Rectification of remote sensing images of high spatial resolution. Integrating multitemporal images of different spatial analysis and from different sensors. Image radiometric enhancement and geometric correction. Radiometric and spatial enhancement through Fourier transform. Principal component analysis, image algebra, indices, classification methods and accuracy assessment.
Educational Material Types
  • Notes
  • Slide presentations
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
Description
The teaching of the course is performed through lectures and slide presentetions using PC and projector in the classroom. Students receive in electronic form their projects' subject and the material for the implementation of the laboratory exercise. In the PC labs there are installed licenses of specialized digital image processing software for the preparation of the students' project.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39✓
Laboratory Work26✓✓
Interactive Teaching in Information Center13✓
Total78
Student Assessment
Description
Oral examination and presentation of students using special software and PPT presentation.
Student Assessment methods
  • Written Exam with Short Answer Questions (Summative)
  • Oral Exams (Summative)
  • Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
Τηλεπισκόπηση (ΣΚΙΑΝΗΣ, ΝΙΚΟΛΑΚΟΠΟΥΛΟΣ, ΒΑΙΟΠΟΥΛΟΣ)
Additional bibliography for study
Σημειώσεις σε ηλεκτρονική μορφή, βοηθήματα λογισμικού για την ψηφιακή επεξεργασία τηλεπισκοπικών εικόνων, Διαφάνειας διαλέξεων σε ψηφιακή μορφή
Last Update
19-11-2020