This paper introduces a new toolbox for hyperspectral imagery, developed under the MATLAB environment.
This toolbox provides easy access to different supervised and unsupervised classification methods. This new
application is also versatile and fully dynamic since the user can embody their own methods, that can be
reused and shared. This toolbox, while extends the potentiality of MATLAB environment, it also provides a
user-friendly platform to assess the results of different methodologies.
In this paper it is also presented, under the new application, a study of several different supervised and unsupervised
classification methods on real hyperspectral data.