103-0287-00L  Image Interpretation

SemesterAutumn Semester 2014
LecturersK. Schindler
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
103-0287-00 GImage Interpretation3 hrs
Thu09:45-11:30HIL D 53 »
12:45-13:30HIL D 53 »
K. Schindler

Catalogue data

AbstractIntroduction 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.
ObjectiveUnderstanding 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.
ContentImage (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;
LiteratureJ. A. Richards: Remote Sensing Digital Image Analysis - An Introduction
C. Bishop: Pattern Recognition and Machine Learning
Prerequisites / Noticebasics of probability theory and statistics; basics of image processing; elementary programming skills (Matlab);

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersK. Schindler
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 30 minutes
Additional information on mode of examinationThe grade will be determined by (i) a 30 minutes oral exam and (ii) lab assignments submitted during the semester. Specifically, the final grade depends 70% on the exam and 30% on the assignments, but students need to reach 4.0 in the exam to pass.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

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Only public learning materials are listed.

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Offered in

ProgrammeSectionType
Geomatic Engineering MasterMajor in Engineering Geodesy and PhotogrammetryOInformation