Image Information Mining
Image Information Mining
Mihai Datcu
German Aerospace Center DLR
Oberpfaffenhofen, D-82234 Wessling, Germany
&
Paris Institute of Technology GET/Telecom Paris
46 rue Barrault, F-75 013 Paris, France
Starting October 2008
The goal of this course is to promote a new profession that does not exist today and cannot grow out of the current competencies.
The new profession aims at elaboration of theories, methods and systems to face in a new manner the new class of problems in image information extraction, understanding and use.
The new profession is based on a novel class of advanced computer engineering and information technologies, associated with overall man – machine system intelligence.
1 Error and quality analysis
2 Information representations
3 Data clustering and grouping
4 Machine learning
4 Spatial syntax and semantics
5 Data Mining: the concepts
6 Knowledge representation and discovery
7 Spatio-temporal reasoning
8 Applications to Earth Observation
References
Image analysis
Parameter estimation
Information measures
Random fields 1
Random fields 2
Image mining 1
Image mining 2
Image time series
KIM
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