Search result: Catalogue data in Autumn Semester 2014
|Geomatic Engineering Master|
|Major in Engineering Geodesy and Photogrammetry|
|103-0287-00L||Image Interpretation||O||4 credits||3G||K. Schindler|
|Abstract||Introduction to interactive, semi-automatic and automatic methods for image interpretation; methodological aspects of computer-assisted remote sensing, including semantic image classification and segmentation; detection and extraction of individual objects; estimation of physical parameters.|
|Objective||Understanding the tasks, problems, and applications of image interpretation; basic introduction of computational methods for image-based classification and parameter estimation (clustering, classification, regression), with focus on remote sensing.|
|Content||Image (and point-cloud) interpretation tasks: semantic classification (e.g. land-cover mapping), physical parameter estimation (e.g. forest biomass), object extraction (e.g. roads, buildings), visual driver assistance;|
Image coding and features; probabilistic inference, generative and discriminative models; clustering and segmentation; continuous parameter estimation, regression; classification and labeling; atmospheric influences in satellite remote sensing;
|Literature||J. A. Richards: Remote Sensing Digital Image Analysis - An Introduction|
C. Bishop: Pattern Recognition and Machine Learning
|Prerequisites / Notice||basics of probability theory and statistics; basics of image processing; elementary programming skills (Matlab);|
|103-0137-00L||Engineering Geodesy||O||4 credits||3G||A. Wieser, M. Frukacz|
|Abstract||Introduction to Engineering Geodesy: methods, instruments, and applications.|
|Objective||The students will be introduced to the methods, instruments and applications in Engineering Geodesy with a focus on end-to-end quality assessment, sensor and multi-sensor-systems, setting out, and monitoring of engineering objects. They will be able to acquire enhanced knowledge and fundamental competences in high-precision angle, distance and height measurements. They will be introduced to aspects of interdisciplinary work in particular related to construction processes and civil engineering.|
|Content||- Introduction: Definition, methods, and tasks|
- Planning and realizing geodetic networks
- High precision distance, angle and height measurements
- Sensors and multi-sensor-systems
- Calibration and testing
- Engineering Geodesy in construction above and below ground
- Tunnel surveying
- Building Information Modeling (BIM)
- Deformation monitoring: Models, methods, and applications
|Lecture notes||The slides and additional documents will be provided in electronic form.|
|Literature||Kavanagh B.F. (2010) Surveying with Construction Applications. Prentice Hall.|
Schofield W., Breach M. (2007) Engineering Surveying. Elsevier Ltd.
|Prerequisites / Notice||Fundamental knowledge in geodetic metrology (applied geodesy), physical geodesy, reference systems, GNSS and parameter estimation is required for this course. This knowledge can for instance been acquired within the appropriate courses of the bachelor studies in Geomatics and Planning.|
|103-0267-01L||Photogrammetry and 3D Vision Lab|
It is suggested that students take the course "Photogrammetrie" at bachelor level before this one.
|W||3 credits||2P||K. Schindler|
|Abstract||The course deals with selected topics of close-range photogrammetry and geometric computer vision, including wide-baseline image matching and reconstruction, dense surface reconstruction, panorama stitching and image indexing; emphasis is put on practical project work.|
|Objective||The aim of the course is to get to know the methods and practice of close-range photogrammetric reconstruction, and an in-depth understanding of selected topics in modern close-range photogrammetry and computer vision.|
|Content||This course builds in part on the courses "Photogrammetrie", "Bildverarbeitung" and "Photogrammetrie II" from the Bachelor program. It focusses on the particular challenges of automated close-range photogrammetry.|
|Lecture notes||Presentation slides, necessary publications and complementary learning materials will be provided through a dedicated course web-site.|
- T. Luhmann. Nahbereichsphotogrammetrie (also available in English )
- R. Hartley and A. Zisserman. Multi-view geometry in computer vision
- R. Szeliski. Computer Vision
|Prerequisites / Notice||A recommended prerequisite for taking this course are the Bachelor courses "Photogrammetrie", "Bildverarbeitung" and "Photogrammetrie II". If you have not passed them, please contact the main lecturer of the course before enrolling. The course will include both practical work with commercial software, and programming in Matlab.|
|103-0767-00L||Engineering Geodesy Lab||W||3 credits||2P||A. Wieser, P. Theiler|
|Abstract||Development of concepts and solutions for challenging tasks in Engineering Geodesy using real-world examples|
|Objective||The students learn to develop, assess and realize concepts and solutions for real-world problems in Engineering Geodesy. They advance the knowledge and skills which they have acquired in relation with geodetic metrology, engineering geodesy. They establish links between these subjects. Particular attention is paid to the selection of appropriate sensors and measurement systems, selection of appropriate measurement and data processing methods, end-to-end quality control, fulfillment of non-technical criteria, and to the documentation of the work.|
|Content||Two to three actual real-world problems are chosen for this lab depending on the number, background and experience of the students. If possible the problems are chosen in connection with current research projects within the Geosensors and Engineering Geodesy Group. Examples of such problems are:|
- high-precision transfer of coordinates and orientation through a long vertical shaft
- monitoring of the deformation of an ice-palace
- development of a 2D-machine-control-and guidance system
- bridge vibration monitoring
|Lecture notes||Publications and documents are made available as needed depending on the selected tasks.|
|Literature||- Möser, M. et al. (2000): Handbuch Ingenieurgeodäsie, Grundlagen. Wichmann, Heidelberg.|
- Heunecke et al. (2013): Handbuch Ingenieurgeodäsie, Auswertung geodätischer Überwachungsmessungen. 2. Aufl., Wichmann, Heidelberg.
- Schofield, W. and Breach, M. (2007): Engineering Surveying. 6th Edition, CRC, Boca Raton, USA.
- Caspary, W.F. (2000): Concepts of Network and Deformation Analysis. School of Geomatic Engineering, The University of New South Wales, Sydney, Australia.
|Prerequisites / Notice||Successful participation in the lab requires knowledge and experiences conveyed within the related course "Engineering Geodesy". Students who have not already passed that course and who are not participating in that course will only be admitted to the lab after discussion with the instructors.|
If the timetable of the participants allows it, the 2-hourly lab units will be combined to individual full-time units.
|103-0787-00L||Project Parameter Estimation|
Does not take place this semester.
|Abstract||Solving engineering problems with modern methods of parameter estimation for network adjustment in a real-world scenario; choosing adequate mathematical models, suitable data-flow and performing software|
|Objective||Learn to solve engineering problems with modern methods of parameter estimation in a real-world scenario.|
|Content||Analysis of the given problem, selection of effective mathematical modells, use of appropriate software.|
|Lecture notes||Assignment of tasks; selected documentation|
|Prerequisites / Notice||Prerequisite: Statistics and Probability Theory, Geoprocessing and Parameterestimation, Geodetic Reference Systems and Networks|
|102-0617-00L||Basics and Principles of Radar Remote Sensing for Environmental Applications||W||3 credits||2G||I. Hajnsek|
|Abstract||The course will provide the basics and principles of Radar Remote Sensing (specifically Synthetic Aperture Radar (SAR)) and its imaging techniques for the use of environmental parameter estimation.|
|Objective||The course should provide an understanding of SAR techniques and the use of the imaging tools for bio/geophysical parameter estimation. At the end of the course the student has the understanding of|
1. SAR basics and principles,
2. SAR polarimetry,
3. SAR interferometry and
4. environmental parameter estimation from multi-parametric SAR data
|Content||The course is giving an introduction into SAR techniques, the interpretation of SAR imaging responses and the use of SAR for different environmental applications. The outline of the course is the following:|
1. Introduction into SAR basics and principles
2. Introduction into electromagnetic wave theory
3. Introduction into scattering theory and decomposition techniques
4. Introduction into SAR interferometry
5. Introduction into polarimetric SAR interferometry
6. Introduction into bio/geophysical parameter estimation (classification/segmentation, soil moisture estimation, earth quake and volcano monitoring, forest height inversion, wood biomass estimation etc.)
|Lecture notes||Handouts for each topic will be provided|
|Literature||First readings for the course:|
Woodhouse, I. H., Introduction into Microwave Remote Sensing, CRC Press, Taylor & Francis Group, 2006.
Lee, J.-S., Pottier, E., Polarimetric Radar Imaging: From Basics to Applications, CRC Press, Taylor & Francis Group, 2009.
Complete literature listing will be provided during the course.
|Prerequisites / Notice||This course in combination with 102-0627-00-G: Applied Radar Remote Sensing for Environmental Parameter Estimation is providing a profound basis for independent data analysis. It is recommended to take both courses together.|
|851-0724-00L||Property Law for Geometers: Land Registry and Geoinformation Law||W||2 credits||2V||M. Huser|
|Abstract||Fundamental concepts of Land Register Law and Land Surveying Law (substantive and procedural rules of Land Register Law, the parts and the relevance of the Land Register, process of registration with the Land Register, legal problems of land surveying, reform of the official land surveying).|
|Objective||Overview of the legal norms of land registry and surveying law.|
|Content||Basic principles of material and formal land registry law, components of the land register, consequences of the land register, the registration process, legal problems of surveying, the reform of official surveying, liability of the geom-eter. The lecture unit is carried out within a frame of 8 sessions (2 hours): the first hour of each is given in the form of a lecture, the second in the form of a case-study.|
|Lecture notes||Abgegebene Unterlagen: Skript zugestellt per e-mail|
|Literature||- Meinrad Huser, Schweizerisches Vermessungsrecht, unter besonderer Berücksichtigung des Geoinformationsrechts und des Grundbuchrechts, Beiträge aus dem Institut für schweizerisches und internationales Baurecht der Universität Freiburg/Schweiz, Zürich 2014|
- Meinrad Huser, Geo-Informationsrecht, Rechtlicher Rahmen für Geographische Informationssyteme, Zürich 2005
- Urs Ch. Nef, Grundzüge des Sachenrechts, Zürich 2004
- Dieter Zobl, Grundbuchrecht, Zürich 1999
- Roland Pfäffli, Der Ausweis für die Eigentumsübertragung im Grundbuch, Thun 1999
|Prerequisites / Notice||Requirements: Property Law (12-722)|
|103-0687-00L||Cadastral Systems||W||2 credits||2G||D. M. Steudler|
|Abstract||Nature, role and importance of cadastral systems and related concepts such as land administration, land registration and spatial data infrastructures (SDIs).|
|Objective||The students will get an understanding of the nature, role and importance of cadastral systems and related concepts such as land administration, land registration and spatial data infrastructures (SDIs). The Swiss cadastral system as well as a range of international approaches both in developed and developing countries will be reviewed.|
|Content||Origins and purposes of cadastral systems|
Importance of documentation
Basic concepts of cadastral systems (real estate, legal basis, conceptual
principles, property-ownership, property types)
Swiss cadastral system:
- legal basis
- technical elements
- methods of data acquisition and maintenance
- quality assurance
Digital revolution, access to data
Benchmarking and evaluation of cadastral systems
International trends, developments and initiatives
|Lecture notes||see: http://www.geo21.ch/ethz/|
|Literature||Larsson, G. (1991). Land Registration and Cadastral Systems: Tools for Land|
Information and Management. Harlow, Essex, England: Longman Scientific and
Technical, New York: Wiley, ISBN 0-582-08952-2, 175 p.
see also: http://www.geo21.ch/ethz/
|263-5902-00L||Computer Vision||W||6 credits||3V + 2U||M. Pollefeys, L. Van Gool|
|Abstract||The goal of this course is to provide students with a good understanding of computer vision and image analysis techniques. The main concepts and techniques will be studied in depth and practical algorithms and approaches will be discussed and explored through the exercises.|
|Objective||The objectives of this course are:|
1. To introduce the fundamental problems of computer vision.
2. To introduce the main concepts and techniques used to solve those.
3. To enable participants to implement solutions for reasonably complex problems.
4. To enable participants to make sense of the computer vision literature.
|Content||Camera models and calibration, invariant features, Multiple-view geometry, Model fitting, Stereo Matching, Segmentation, 2D Shape matching, Shape from Silhouettes, Optical flow, Structure from motion, Tracking, Object recognition, Object category recognition|
|Prerequisites / Notice||It is recommended that students have taken the Visual Computing lecture or a similar course introducing basic image processing concepts before taking this course.|
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