Teledetection supplements

Duration

15h Th, 20h Pr

Number of credits

Lecturer

Yves Cornet

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Different advanced processing methods are offered to students. We leave them the choice of the methods they want to deepen. A brief theoretical explanation of the latter will be given as an introduction. Basic scientific literature on these methods will also be provided to each student.
The list of subjects follows :
1. Image filtering the spectral domain
2. Edge detection (Canny) and Edge linking (Hough)
3. Comparison of several image segmentation methods (Maximun Enthropy Thresholding - Edge detection using Canny distance transform and watershed, local variance and watershed)
4. Spectral unmixing
5. Comparison of pixel-based classification methods
6. Comparison of object-based classification methods
7. Multidate classification and Land Cover Change analysis.
8. Cloud detection (MODIS, AVHRR ...)
9. Relative Radiometric Normalization
10. Topographic Normalization
11. Comparison of image fusion methods and output quality assessment
12. Time series analysis analysis of Low spatial resolution SST (pathfinder)
13. Time series analysis analysis of Low Spatial resolution LST (MODIS)
14. Medium spatial resolution LST modeling (Landsat4, 5 and 7 TM or ETM+; Landsa8 thermal sensor)
15. Using Grass (importation, visualization, geometric correction, classification, texture analysis...)
16. Using SAGA (idem)
17. Automatic homologous point matching on stereoscopic couple of images (Matlab or Octave programming)
18. Ocean Color using Seadas
19. Bathymetry and sea bottom classification in shallow water domain
Practical lessons that constitute the major part of the course will focus on the analysis of the literature on the chosen thematic, the choice and implementation of a solution, the realization of power-point slides explaining the problem and the implemented solution, the presentation of theses slides to the other students and teacher(s) during a seminar day.
The practical works will be made by students in controlled autonomy.

Learning outcomes of the learning unit

Students will gain
* An aptitude in building its own knowledge on a specific remote sensing image processing problem from the scientific literature
* A grasp the functions of image processing using specific software tools used in previous courses but also other new free software
Using basic knowledge learned during the remote sensing course of the Bachelor degree, the student will also be capable of designing original technical solutions making it possible to answer new questions in the different application fields of remote sensing. By also using the skills and mindset acquired during other courses of Bachelor and Master degree (mathematics, statistics, physics, cartography, error propagation, digital methods applied to geography, programming ...), the student should also demonstrate the scientific rigour necessary for the analysis of these technical solutions, for their reliable formulation, for their implementation and for analysis of their results.

Prerequisite knowledge and skills

Students will use the skills acquired during the various remote sensing courses of its previous cursus (2nd and 3rd Bac).
The course involves an intense use of mono and multivariate statistical processing, the principles of spatial analysis. Some notions of numeric analysis, some mathematical tooms and several physics concepts.
It also calls upon a certain number of concepts dealt with during the digital cartography and mathematical cartography course. Software tools applied during practical sessions for the different courses given by members of the Geomatics Unit are also used.
In addition, the mindset learned during the different physics, mathematics, programming, cartography, and spatial analysis courses will be essential.
 

Planned learning activities and teaching methods

The theoretical part is reduced to its simplest form. It will take place in the form of synthetic communications on the various subjects to be addressed by students during practical work that will be the major activity.
The practical work lessons are independently done by the students in a controlled environment. They are organised in accordance with the problem-based learning concept. Each student must respond to an original image processing problem by using software tools made available to them. Evidently, the student can also choose alternative solutions by, for example, using free software and programming environment tools. Basic scientific documentation is made available to the student but It is also recommended analyse the documentation available elsewhere: web literature, software helps, discussion forums, reference books.... A specific set of data on each subject is distributed.
At the end of the practical work lessons, each student makes a PowerPoint presentation. In this document he will present to the class the problem, the analysis of the suggested technical solution or solutions and examples of application fields, the implementation of this solution or these solutions, the description of the data used, the processing results and their critical analysis, a conclusion. After the presentation, a short period of questions and answers in which students and teachers participate is planned. All the PowerPoint presentations are made available to all of the students.
Some software such as Idrisi, SAGA, Grass, seadas, Matlab and Octave are installed on computers in the classrooms. In addition, the students have free access to the licenses of Idrisi and other software through the VPN of ULg. For more information on access to these software, they can consult the following web address: http://www.gitan.ulg.ac.be/cms.
This site also contains the schedule for getting access to the classrooms of building B5a. If students wish to use it to complete their projects or to help them in their practical work, they can contact the staff of the Geomatics Unit.

Mode of delivery (face-to-face ; distance-learning)

The method of teaching is face-to-face. Presence is thus mandatory. Any absence must be justified (by a medical certificate, for example). Unless otherwise stated, sessions are held in the classrooms of building B5a. The course schedule is provided elsewhere (http://www.facsc.ulg.ac.be/cms/c_253095/fr/horaires).

Recommended or required readings

Scientific articles distributed during the lessons and through the eCampus platform.

Assessment methods and criteria

The final mark is based on the quality of the presentation on the practical work and the quality of answers in the discussion following the presentation.
The evaluation criteria are as follows: clarity, coherence, logic, meticulousness, precision, completeness, brevity, relevance, cross-cutting nature (within the course and between courses), quality of mathematical interpretations (mathematical meaning of the different coefficients of the equation, e.g.), physical interpretations (dimensions and units, order of magnitude - scaling, e.g.) and geographical interpretations (single and multivariate spatial and temporal interaction - type - and meaning of the variables e.g.).
Critical thinking with respect to the data used (qualification, nature, meaning, representativeness, normalization ...) and methodological choices (justification of choice of methods, adopted thresholds ...) will also be taken into consideration when evaluation. Furthermore, students will also be evaluated based on the quality and the originality of the graphic illustration since graphic expression is the scientist's specificity. It further allows demonstrating a good understanding of the phenomenon. Finally, enriching an answer with a rich personal scientific culture will also be considered as a factor of excellence in the evaluation.

Work placement(s)

Nil

Organizational remarks

Nil

Contacts

Yves CORNET, Professor
Geomatics Unit, 17 (B5a), Allée du 6 Août, 4000 Liège
Tel. 04 3665371
Mail : ycornet@ulg.ac.be
Web: http://139.165.44.35/cms/index.php

Items online