Sparse Representation-based Dictionary Learning Methods for Hyperspectral Super-Resolution
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Tarih
2016
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Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Due to hardware limitations, hyperspectral imagery has low spatial resolution. It can be obtained super-resolution hyperspectral imagery by means of sparse representation-based methods that are designed for improving spatial resolution. In this paper, the effect of sparse representation-based dictionary learning algorithms including K-SVD, ODL and Bayes on obtaining superresolution images with low error and high quality has been investigated. The method with best results has been identified.
Açıklama
24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY
Anahtar Kelimeler
hyperspectral images, super resolution, sparse representation, dictionary learning
Kaynak
2016 24Th Signal Processing And Communication Application Conference (Siu)
WoS Q DeÄŸeri
N/A
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closedAccess
