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= Scientific Programming with Python for Satellite Image Processing and Analysis= | = Scientific Programming with Python for Satellite Image Processing and Analysis = |
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* 2 SWS, 3 LP | |
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Lectures: * [[/Lesson1|27.10. Introduction]] |
Preliminary schedule * 27.10. [[/Lesson1|Introduction]], [[/Lesson1b|Basic Python]], [[/Exercise1|Exercise]] |
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* 10.11. * 17.11. * 24.11. * 1.12. * 8.12. * 15.12. * 5.1. * 12.1. * 19.1. |
* 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 |
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* Project | * Algorithms for retrieval of geophysical parameters * Edge detection, segmentation, morphological operations, classification * [[/Project| Project]] |
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
Wintersemester 2008/2009
Preliminary schedule
27.10. Introduction, Basic Python, Exercise
- 3.11. Data types, structures and functions
- 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
Sommersemester 2009
- Algorithms for retrieval of geophysical parameters
- Edge detection, segmentation, morphological operations, classification