Dynamic band selection for hyperspectral imagery

This paper presents a new BS, called dynamic BS (DBS) which revolutionizes the commonly used BS by considering the number of bands to be selected, p as a variable which varies with criterion used for BS and different applications. Its idea is derived from information theory where it assumes that signal sources are considered as source alphabets with probabilities being their mutual spectral discriminatory powers calculated by a spectral similarity measure. If we further assume that a signal source is accommodated by a particular spectral band, the signal source will be encoded by 1 indicating a band being used to specify the signal source and 0 otherwise. Accordingly, band dimensionality to discriminate a signal source from other sources can be determined by its variable coding length obtained by the Huffman coding. With this interpretation the conventional BS can be considered as a fixed-dimensionality BS, referred to as static BS(SBS).