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Lecture and exercises by [[LarsKaleschke| Prof. Dr. Lars Kaleschke]] |
Lecture and exercises by [[LarsKaleschke|Prof. Dr. Lars Kaleschke]] |
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= Why Python? = | == Why Python? == |
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[[/Links| Where do I find more information?]] | [[Python/Links|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) |
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* 27.10. [[/Lesson1|Introduction]], [[/Lesson1b|Basic Python]], [[/Exercise1|Exercise]] * 3.11. [[/Lesson2|Data types, structures and functions]] [[/Exercise2|Exercise]] * 10.11. System, I/O * 17.11. Plotting and visualization * 24.11. Image statistics, histogram * 1.12. Sampling, interpolation * 8.12. Neighborhood operation, convolution * 15.12. Smoothing filter * (5.1.) * 12.1. Geometric transformations and projections * 19.1. Algorithms for retrieval of geophysical parameters * 26.1. Exam * 2.2. Evaluation |
* 27.10. [[Python/Lesson1|Introduction]], [[Python/Lesson1b|Basic Python]], [[Python/Exercise1|Exercise]] * 3.11. [[Python/Lesson2|Data types, structures and functions]] * 10.11. [[Python/Exercise2|Exercise]] * 17.11. [[Python/Lesson3|System]] [[Python/Exercise3|Exercise]] * 24.11. [[Python/Lesson4|Data formats]] [[Python/Exercise4|Exercise]] * 1.12. [[Python/Lesson5|Histogram]] [[Python/Exercise5|Exercise]] * 8.12. [[Python/Lesson6|Image statistics]] [[Python/Exercise6|Exercise]] * 15.12. [[Python/Lesson7|Sampling, interpolation]] * (5.1.) * 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| Project]] | * [[Python/Project|Project]] == 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