Found 11 relevant results in 2.65s where lecturer="Emmanuel Baltsavias"
Photogrammetry II
Photogrammetrie II
This course covers advanced topics of aerial photogrammetry not treated in the basic course "Photogrammetrie".
The aim of the course is to provide the fundamental knowledge about earth observation sensors, techniques and methods for bio/geophysical environmental parameter estimation.
Independent scientific work in one of the geomatics disciplines; discipline can be chosen
Photogrammetry and Remote Sensing Lab is a project work which emphasizes current research topics and relevant practical issues in Photogrammetry and Remote Sensing
Photogrammetry and GIS
Photogrammetrie und GIS
No description available.
Project work in photogrammetry, remote sensing and GIS
Vertiefungsblock Photogrammetrie, Fernerkundung, GIS
The aim is to give the students the opportunity to perform a small project and become more familiar with performing research. This course is often thought as prerequisite for doing a subsequent diploma thesis.
This course focuses mainly on photogrammetric processing and classification of optical and especially multispectral satellite images with practical work and own programming.
Satellite Remote Sensing
Satellitenfernerkundung
The aim of this course is the learning of the fundamentals of satellite remote sensing regarding sensors, processing methods, products and applications. The focus is mainly on optical and secondary microwave sensors for earth observation and especially land applications.
Satellite Remote Sensing
Satellitenfernerkundung
The aim of this course is the learning of the fundamentals of satellite remote sensing regarding sensors, processing methods, products and applications. The focus is mainly on optical and secondary microwave sensors for earth observation and especially land applications.
Satellite Remote Sensing II
Satellite Remote Sensing II
This course will be based on the course Satellitenfernerkundung given in the 5th semester. It will treat mainly processing of radar data with exercises and present additional information on high spatial resolution, thermal and meteorological satellite sensors.
The objective of this lecture is to introduce the basic concepts of image formation, and explain the methods commonly used in Computer Vision applications. To fully understand the presented computer vision methods the necessary signal processing background will be taught.