Saliency based visualization of hyper-spectral images

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. .
Type de document :
Communication dans un congrès
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2015, Milan, Italy. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.1096-1099, 2015, 〈10.1109/IGARSS.2015.7325961 〉
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Contributeur : Haris Ahmad Khan <>
Soumis le : vendredi 5 janvier 2018 - 14:28:21
Dernière modification le : lundi 9 avril 2018 - 12:22:36
Document(s) archivé(s) le : mercredi 2 mai 2018 - 11:33:41

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

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