PySptools
Hyperspectral algorithms for Python
A lightweight hyperspectral imaging library that provides developers with spectral algorithms for the Python programming language. New for v0.14.x: a scikit-learn bridge (alpha and partial).
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
* sklearn: HyperEstimatorCrossVal, HyperSVC and others
* spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface
* util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others
The library do an extensive use of the numpy numeric library and can achieve good speed. ...