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103-0287-00L 6 Credits MSC D-BAUG
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Image-based Mapping

Lecturers & Examiners: Prof. Dr. Konrad Schindler
VVZ CR n/a

Last Updated: 2026-02-05 16:02:07

Abstract

Application of photogrammetry and remote sensing methods for mapping and Earth observation.

Objective

Learn how to apply photogrammetry, image analysis and machine learning to mapping tasks; hands-on experience in implementing automatic image analysis methods, and in judging their results.

Content

Preprocessing of satellite images, atmospheric correction; extraction of features (radiometric indices, texture descriptors, etc.) from raw image intensities; semantic image segmentation (e.g., cloud masking); physical parameter estimation (e.g., vegetation height); practical deployment of geometric and semantic computer vision and image analysis methods for mapping; assessment of prediction results

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
graded semester performance
During the course, student groups will implement several image analysis tasks, and present their projects in class. The grade will be determined by the submitted assignments and the associated presentations.

Course Components

Type Title Time & Place Hours
lecture with exercise Image-based Mapping
Remark: : Successor course of former course “Image Interpretation”.
  • Tue 13:45-15:30 (HIL F 10.3)
  • Fri 09:45-11:30 (HIL D 53)
2 h weekly

Offered In