Spectral Content Characterization for Efficient Image Detection Algorithm Design

This paper presents spectral characterization for efficient image detection using hyperspectral processing technique. We investigate relationship between the number of bands used in the detection so that the minimum number of bands are used in the processing. This approach reduces computation and implementation complexity of the algorithms. Specifically, we considered contribution coefficient by each band and based on this coefficient, we heuristically select the bands for processing. We have shown that for effective detection, only small number of bands are needed.