Metadata-Version: 1.1
Name: pysptools
Version: 0.12.1
Summary: A hyperspectral imaging tools box
Home-page: http://pysptools.sourceforge.net/
Author: Christian Therien
Author-email: ctherien@users.sourceforge.net
License: Apache License Version 2.0
Description: 
        PySptools is a hyperspectral and spectral imaging library that provides spectral algorithms for the Python programming language. Specializations of the library are the endmembers extraction, unmixing process, supervised classification, target detection and noise reduction.
        
        The library is designed to be easy to use and almost all functionality has a plot function to save you time with the data analysis process. The actual sources of the algorithms are the Matlab Hyperspectral Toolbox of Isaac Gerg, the pwctools of M. A. Little, the Endmember Induction Algorithms toolbox (EIA) and the HySime Matlab module of José Bioucas-Dias and José Nascimento.
        
        Functionality
        *************
        
        The functions and classes are organized by topics:
        
        * abundance maps: FCLS, NNLS, UCLS
        * classifiers (supervised): NormXCorr, SAM, SID
        * detection: ACE, CEM, GLRT, MatchedFilter, OSP
        * distance: chebychev, NormXCorr, SAM, SID
        * endmembers extraction: ATGP, FIPPI, NFINDR, PPI
        * formating: convert2D, convert3D, normalize
        * material count: HfcVd, HySime
        * noise: Savitzky Golay, MNF, whiten
        * sigproc: bilateral
        * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface
        * util: corr, cov
        
        The library do an extensive use of the numpy numeric library and can achieve good speed for some functions. The library is mature enough and is very usable even if the development is at a beta stage.
        
        Installation
        ************
        
        From version 0.12.1, PySptools can run under Python 2.7 and 3.3. It has been tested for these versions but can probably run under others Python versions.
        
        .. note:: The porting under Python 3.3 is not integral. Because the SPy library run on Python <= 2.7 and as the spectro module use SPy, the spectro module is not part of the porting.
        
        To install download the sources, expand it in a directory and add the path of
        the pysptools-0.xx.x directory to the PYTHONPATH system variable.
        
        OR
        
        You can use Distutils (new for version 0.08 and above). Expand the sources in a directory,
        go to the pysptools-0.xx.x directory and at the command prompt type 'python setup.py install'.
        To uninstall the library, you have to do it manually. Go to your python installation. In the
        Lib/site-packages folder simply removes the associated pysptools folder and files.
        
        AND/OR
        
        The algorithm NFINDR have a cython version. This cython version run two times faster than the pure Python version. It is compiled for Windows 7 (maybe it work for vista and 8),
        64 bits and the official Python 2.7 64 bits release. If it is your case, download
        NFINDR_win_amd64-py2.7.zip, unzip and copy the nfindr.pyd file
        to your installation in the endmembers extraction algorithms folder, something like lib\site-packages\pysptools\eea
        You can find this file on the sourceforge site. To have more information on nfindr.pyd read the eea module documentation.
        
        Dependencies
        ************
        
        * Python 2.7 or 3.3
        * Numpy, required
        * Scipy, required
        * scikit-learn, required
        * SPy, required (for Python 2.7)
        * Matplotlib, required
        * CVXOPT, optional, to run FCLS
        * IPython, optional, if you want to use the display feature
        
        For Python 2.7:
        
        The library is developed on the Windows platform, with: Python 2.7.5, 64 bits, numpy 1.8.2,
        scipy 0.12.0, SPy 0.11, Matplotlib 1.3.1, scikit-learn 0.13.1, CVXOPT 1.1.6 and IPython 2.2.0.
        
        For Python 3.3:
        
        The library is developed on the Windows platform, with: Python 3.3.5, 64 bits, numpy 1.8.1,
        scipy 0.13.3, Matplotlib 1.3.1, scikit-learn 0.15, CVXOPT 1.1.7 and IPython 2.2.0.
        
Keywords: python,telops,hyperspectral imaging,signal processing,library,endmembers,unmixing,pysptools,sam,sid,atgp,N-FINDR,NFINDR,spectroscopy,target detection,georessources,geoimaging,chemical imaging,pharmaceutical,pharma,minerals,spectral,remote sensing
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
