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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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 * 2 SWS, 3 LP

== Why Python? ==
 * http://geosci.uchicago.edu/~rtp1/itr/Python.html
 * http://www.scipy.org/NumPyTestimony

[[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. Data types, structures and functions
 * 10.11. System, I/O
 * 17.11. Image statistics, histogram
 * 24.11. Neighborhood operation, convolution
 * 1.12. Sampling, interpolation
 * 8.12. Geometric transformation, projection
 * 15.12. Smoothing filter
 * 5.1. Edge detection, segmentation, morphological operations
 * 12.1. Classification, optimization
 * 19.1. Classification, K-means
 * 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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 * Algorithms for retrieval of geophysical parameters
 * Edge detection, segmentation, morphological operations, classification
 * [[Python/Project|Project]]
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 * 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

Sommersemester 2009

  • Algorithms for retrieval of geophysical parameters
  • Edge detection, segmentation, morphological operations, classification

  • Project

Project Planning

  • Project 1 Meltponds

  • Project 2 Tracking south Atlantic iron fertalizion and possibly resulting phytoplankton blooms from satellite

  • Project 3 Classification of SSW

LehreWiki: Python (last edited 2009-01-26 13:32:53 by anonymous)