Lehrinhalte
Automatic Image Analysis:
Visual cognition, grouping, shape descriptors, computer vision paradigm, knowledge-based image
analysis, models of the real world, formal representation of the models, modelling of uncertainty (softcomputing), invariant pattern recognition, Bayesian decision theorem, Markoff random field models,
Bayesian networks, object categorisation, automatic interpretation of maps, application to close range and
air photographs
Digital Image Processing:
Image representation in frequency domain, Fourier transform, sampling theorem, filtering, Wiener Filter,
image enhancement, edge detection, Hough transform, segmentation, interest operators, mathematical
morphology, vectorisation, texture, skeletonization, medical axis and distance transform, contour/ line
tracing and -smoothing, Gestalt psychology, grouping
Microwave and Radar Remote Sensing:
Physical basics, microwave systems, radar with synthetic aperture (SAR): application process, SAR-image generation, SAR-interferometry, coherence, differential SAR-interferometry, permanent scatterer analysis, SAR-polarimetry, scattering matrix, partial scatterer, decomposition theorems, entropy/ alpha-classification, polarimetric SAR-interferometry, object extraction from SAR-data, sensor/ data fusion
Optical Remote Sensing:
Physical basics, optical sensors, multi- and hyper spectral-sensors, functionality of optical sensors,
geometrical and radiometrical image calibration, pre-processing of satellite images, arithmetic image
operations, principal axis transform, Tasseled Cap Transform, supervised and unsupervised classification
processes, BRDF, spectral demixing, image textures, microwave systems, radar with synthetic aperture
(SAR)
