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Lectures: Preliminary schedule
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 * 17.11.
 * 24.11.
 * 1.12.
 * 8.12.
 * 15.12.
 * 5.1.
 * 12.1.
 * 19.1.		  * 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

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

Wintersemester 2008/2009

Preliminary schedule

  • 27.10. Introduction

  • 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

Sommersemester 2009

  • Project

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