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| SiaExercisesLesson1 | SiaExercisesLesson3 == Lesson 4 - Image Processing == SiaProgrammingPythonImageProc SiaExercisesLesson4 == Lesson 5/6 - Image Processing == SiaProgrammingPythonImageProc SiaExercisesLesson5 == Lesson 7 - Image Processing: Bayes classification, segmentation by thresholding == SiaProgrammingPythonImageProc SiaExercisesLesson7 == Lesson 8 - Image Processing: Texture == SiaProgrammingPythonImageProc SiaExercisesLesson8 == Lesson 9 - Image Processing: Kmeans algorithm, Vector Quantization == SiaProgrammingPythonImageProc SiaExercisesLesson9 |
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| *[[http://37mm.no/mpy/idl-numpy.html|NumPy for IDL users]] *[[http://www.scipy.org/NumPy_for_Matlab_Users|NumPy for Matlab users]] |
* [[http://37mm.no/mpy/idl-numpy.html|NumPy for IDL users]] * [[http://www.scipy.org/NumPy_for_Matlab_Users|NumPy for Matlab users]] * [[http://www.tau.ac.il/~kineret/amit/scipy_tutorial/|SciPy tutorial]] |
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| === RPy === * [[http://rpy.sourceforge.net/| RPy (R from Python)]] Statistical computing and graphics |
Programming Python
Lesson 1 - Introduction
SiaProgrammingPythonIntroduction
SiaProgrammingPythonBasicPython
Lesson 2 - Data types, structures and functions
Lesson 3 - System, I/O
Lesson 4 - Image Processing
Lesson 5/6 - Image Processing
Lesson 7 - Image Processing: Bayes classification, segmentation by thresholding
Lesson 8 - Image Processing: Texture
Lesson 9 - Image Processing: Kmeans algorithm, Vector Quantization
Documentation
Modules
SciPy/NumPy
pylab
Matplotlib/pylab Plotting functions with a high degree of Matlab compatibility
GDAL
GDAL - Geospatial Data Abstraction Library for various satellite data formats
PyNGL
PyNGL/PyNIO Python interface to NCAR Command Language
- Scientific visualization and data formats (netCDF, HDF, GRIB etc.)
To enable PyNGL (on ZMAW Linux ia32/x64 and solaris10) you have to type
module load PyNGL/1.2.0
RPy
RPy (R from Python) Statistical computing and graphics