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- W1999599811 abstract "The problem with visualization of hyper-spectral images on tri-stimulus displays arises from the fact that they contain hundreds of spectral bands while generally used display devices support only three bands/channels namely blue, green and red. Therefore, for visualization a hyper-spectral (HS) image has to be reduced to three bands. The main challenge while performing this band reduction is to retain and display the maximum information available in a hyper-spectral image. Human visual system focuses attention on certain regions in images called “salient regions”. Therefore to provide a comprehensive representation of hyper-spectral data on tri-stimulus displays we propose to use a weighted fusion method of saliency maps and hyper-spectral bands. The efficacy of the proposed algorithm has been demonstrated by tests on both urban and countryside images of AVIRIS and ROSIS sensors." @default.
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- W1999599811 date "2015-07-01" @default.
- W1999599811 modified "2023-10-06" @default.
- W1999599811 title "Saliency based visualization of hyper-spectral images" @default.
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- W1999599811 doi "https://doi.org/10.1109/igarss.2015.7325961" @default.
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