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A collection of well documented ENVI / IDL algorithms and applications
...Both common code and classes are the building blocks for the applications which perform well delineated tasks.
All common code, classes and applications are well documented. The complete set of code and documentation are available to the remote sensing community.
ENVI/IDL code developers and remote sensing researchers are requested to actively contribute to this ENVI/IDL Code Library in order to obtain a solid reference of user developed applications for the remote sensing community.
Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.