Mathias Rothermel: Catalogue data in Autumn Semester 2016 |
| Name | Mr Mathias Rothermel |
| Address | Inst f Geodäsie u Photogrammetrie ETH Zürich, HIL D 42.2 Stefano Franscini Platz 5 8093 Zürich SWITZERLAND |
| Telephone | 044 633 30 63 |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 103-0287-00L | Image Interpretation | 4 credits | 3G | J. D. Wegner, S. Galliani, M. Rothermel | |
| 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. | ||||
| Learning 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); | ||||