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Communication Dans Un Congrès Année : 2015

Saliency based visualization of hyper-spectral images

Résumé

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. .
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Dates et versions

hal-01672533 , version 1 (05-01-2018)

Identifiants

Citer

Haris Ahmad Khan, Muhammad Murtaza Khan, Khurram Khurshid, Jocelyn Chanussot. Saliency based visualization of hyper-spectral images. IGARSS 2015 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2015, Milan, Italy. pp.1096-1099, ⟨10.1109/IGARSS.2015.7325961⟩. ⟨hal-01672533⟩
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