An ensemble constructed using spectral distribution and its efficiency in categorizing hard-to-discriminate features

In the present paper, efficiency and competence of an ensemble method is explored in the context of large number of available spectral information. Classification results of ensemble method are compared with the results generated by a single classifier utilizing all spectral channels. In the present study, an ensemble committee is constructed by distributing spectral channels among five members of the committee to satisfy diversity criteria. Each spectral channel is representative of a particular wavelength and each Earth feature has its own spectral signature to a specific wavelength. Taking advantage of this fact, the present study attempts to explore the possibility of constructing diverse ensemble members in addition to achieving improved classification accuracy with respect to hard-to-discriminate image objects. Classification results obtained are promising. Overall classification accuracy is better through ensemble method. Some hard-to-discriminate objects are correctly identified. However, in some cases we obtained mixed results.