Duration
10h Th, 40h Pr, 2d FW
Number of credits
| Master in geography: geomatics, professional focus in geodata expert | 5 crédits | |||
| Master in geography: geomatics, professional focus in land surveyor | 5 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The "3D data acquisition and processing" course will enable you to master the key principles related to the collection and processing of 3D spatial data. Your objective is to complete the course by carrying out various labs which will lead you to prepare the final project.
To help you realize this project, I provide you with 3 tools:
- Theoretical lectures, to prepare you and allow you to rely on a clear basis
- Practical work, to directly apply theoretical learning
- Supervised support based on the deliverables of the various missions.
Content of the teaching unit
Introduction to 3D data acquisition and processing
The principles
Instruments and methods
Sensors and acquisition vectors
3D applications
Dense photogrammetry "Structure from Motion (SfM)"
Introduction to 3D photo-reconstruction
The "classic" photogrammetry
Principle of SfM Photogrammetry
Measurement platforms
3D photo-reconstruction: in practice
Camera settings for shooting
Land acquisition
Multi-view reconstruction
The "SfM" processes
Dense matching
Image interpretation
3D reconstruction, orthoimage and DSM
Laser scanning
Principle of Laser scanning
The different Laser Scanners and mobile platforms
Laser Scanning: errors
Laser Scanning: Data Acquisition
Laser Scanning: Registration
Laser Scanning: Processing of "point cloud" data
3D data processing
Extract data information from point clouds
Introduction to 3D mesh processing
These different points are addressed in a theoretical way, then put into practice directly according to the labs and the final project.
Learning outcomes of the learning unit
Become an expert in "Reality Capture", able to manage 3D survey projects from A to Z.
Prerequisite knowledge and skills
- Geodetic systems
- Geometry and trigonometry
- Least squares
- Epipolar Geometry
- Use of word processing softwares
- Use of spreadsheets and/or programming scripts
- Make a professional presentation
- Topography & Use of total stations + GNSS receivers
- Réalisation de présentation par diaporama
Planned learning activities and teaching methods
You will carry out labs that lead to reports, calculations and/or support to validate the acquisition of skills.
In other words, to do this course I ask you to acquire all the essential skills of a professional.
In the labs, I give you a list of deliverables or tasks to be carried out in compliance with specific requirements.
The idea of project-based pedagogy is to enable you to learn under conditions that as realistic as possible. So the labs push you to:
Contextualize your practices
Plan your work in the short/medium/long term
Find the information you need to solve a problem
Present your work publicly
Improve yourself with resources and feedback
The logistical and scheduling organization can be variable, but a certain amount of tbe provided before each lab is carried out.
Mode of delivery (face to face, distance learning, hybrid learning)
It is a face-to-face teaching. The theoretical and practical sessions in controlled autonomy take place on the day scheduled in the course schedule.
Course materials and recommended or required readings
Platform(s) used for course materials:
- Microsoft Teams
Further information:
Further information:
Course slides will be available om Teams platforms and regularly updated after each class.
Exam(s) in session
Any session
- In-person
oral exam
Written work / report
Continuous assessment
Further information:
Any session :
Additional information:
In the oral exam the students will present their final project, for which they have to prepare also a written report.
The submission of labs reports are a prerequisite.
A permanent non-certifying self-assessment is ensured during the lab sessions by strong interaction between students and teachers.
The questions asked during the student's support are inspired by the imperfections of the different deliverables.
The evaluation criteria are: clarity, coherence, logic, rigour, precision, exhaustiveness, conciseness, relevance, transversality (within and between courses), quality of mathematical interpretations (e. g. mathematical significance of different coefficients in equations), physical (e. g. dimensions and units, order of magnitude - scaling) and geographical (single and multivariate spatial-temporal interaction and nature - type - and significance of variables - e. g.).
The critical sense of the data used (qualification, nature, meaning, representativeness, standardization, etc.) and the methodological choices (justification of the choice of methods, appropriate thresholds, etc.) will also be taken into consideration during the evaluation.
In addition, the answers will also be evaluated on the basis of the quality and originality of the graphic illustrations, and the spirit of synthesis and relevance of the different deliverables.
The final defense is the outcome of the project.
Work placement(s)
Organisational remarks and main changes to the course
The course will be taught in English.
Contacts
Roberta Ravanelli, chargée de cours
Geomatics Unit
Quartier Agora
allée du 6 août (B5a), 19 - 4000 Liège 1
E-mail: roberta.ravanelli@uliege.be