Spectral Deconvolution and Non-Overlap Bands Sampling for IMS-1 Hyperspectral Imager Data

In this paper, we attempt to realize ‘near true’ spectral signatures of the ground features achievable from IMS-1 hyperspectral Imager (HySI) by employing spectral deconvolution method. From spectral response function of 64 spectral bands, it is first inferred that their spectral bandwidths are higher than the Nyquist sampling, suggesting that the spectral details of ground features are likely to be affected. The proposed approach tries artificially to reduce effective bandwidth of each band, thereby resolving individual band spectrum separable for further spectroscopic investigation. The spectral bands are further sampled to non-overlapping 17 spectral bands at a sampling interval of 25 nm to enable extraction of unique spectral signatures of the ground features.