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HYPERSPECTRAL IMAGE DENOISING USING MULTIPLE LINEAR REGRESSION AND BIVARIATE SHRINKAGE WITH 2-D DUAL-TREE COMPLEX WAVELET IN THE SPECTRAL DERIVATIVE DOMAIN
In this pap er, a new denoising method is proposed for hyperspectral remote sensing images, and tested on both the simulated and the real - life datacubes. Predicted datacube of the hyperspectral images is calculated by multiple linear regression in the spectral domain based on th...
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| Pubblicato in: | Boletim de Ciências Geodésicas |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Universidade Federal do Paraná
2016
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=393948761014 |
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