Skip to main content

A hyperspectral imaging tools box

Project 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, noise reduction, convex hull removal and features extraction at spectrum level.

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), the HySime Matlab module of José Bioucas-Dias and José Nascimento and science articles.

Functionality

The functions and classes are organized by topics:

  • abundance maps: FCLS, NNLS, UCLS

  • classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC

  • detection: ACE, CEM, GLRT, MatchedFilter, OSP

  • distance: chebychev, NormXCorr, SAM, SID

  • endmembers extraction: ATGP, FIPPI, NFINDR, PPI

  • material count: HfcVd, HySime

  • noise: Savitzky Golay, MNF, whiten

  • sigproc: bilateral

  • spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface

  • util: load_ENVI_file, load_ENVI_spec_lib, corr, cov, plot_linear_stretch, display_linear_stretch, convert2D, convert3D, normalize, InputValidation, ROIs

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

Since version 0.12.2, PySptools can run under Python 2.7 and 3.x. It has been tested for these versions but can probably run under others Python versions.

Manual installation

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.

Distutils installation

You can use Distutils. 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.

Dependencies

  • Python 2.7 or 3.x

  • Numpy, required

  • Scipy, required

  • scikit-learn, required

  • SPy (spectral), required, version >= 0.17

  • Matplotlib, required

  • CVXOPT, optional, to run FCLS

  • IPython, optional, if you want to use the display feature

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysptools-0.13.4.tar.gz (3.8 MB view details)

Uploaded Source

File details

Details for the file pysptools-0.13.4.tar.gz.

File metadata

  • Download URL: pysptools-0.13.4.tar.gz
  • Upload date:
  • Size: 3.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pysptools-0.13.4.tar.gz
Algorithm Hash digest
SHA256 a79cb1069a8cab874d57a49db9f009321cb900e98be8a4a1e9130b9a4be0046c
MD5 9ac79438de8ac5399d7cdb5e2b8db32b
BLAKE2b-256 bf89c57f28b91ac7c25e9183e48bcc5d1d3733e0042a4df5e9c3029cded1e213

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page