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| * 12.1. Neighborhood operation, convolution, smoothing filter * 19.1. Geometric transformations and projections * 26.1. Exam * 2.2. Evaluation |
* 12.1. [[Python/Lesson8|Neighborhood operation, convolution, filter]] [[Python/Exercise8|Exercise]] * 19.1. [[Python/Lesson9|Geometric transformations and projections]] * 26.1. [[Python/Exam|Exam]] 15:30 * 3.2. Evaluation, 9:30 |
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| == Project Planning == * [[Python/Project1_2009|Project 1]] Meltponds * [[Python/Project2_2009|Project 2]] Tracking south Atlantic iron fertalizion and possibly resulting phytoplankton blooms from satellite * [[Python/Project3_2009|Project 3]] Classification of SSW |
Scientific Programming with Python for Satellite Image Processing and Analysis
Lecture and exercises by Prof. Dr. Lars Kaleschke
- Monday
- 15:00-16:30
- Room ZMAW 024
- First lecture 27. October
- 2 SWS, 3 LP
Why Python?
Where do I find more information?
- Python Scripting for Computational Science, Hans Petter Langtangen, Springer (available in the ZMAW library)
- Digitale Bildverarbeitung, Bernd Jähne, Springer (available in the ZMAW library)
Wintersemester 2008/2009
Preliminary schedule
27.10. Introduction, Basic Python, Exercise
10.11. Exercise
24.11. Data formats Exercise
8.12. Image statistics Exercise
15.12. Sampling, interpolation
- (5.1.)
26.1. Exam 15:30
- 3.2. Evaluation, 9:30
Sommersemester 2009
- Algorithms for retrieval of geophysical parameters
- Edge detection, segmentation, morphological operations, classification