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Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images

Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2390350503

Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images

About this item

Full title

Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Hyperspectral Imaging is the acquisition of spectral and spatial information of a particular scene. Capturing such information from a specialized hyperspectral camera remains costly. Reconstructing such information from the RGB image achieves a better solution in both classification and object recognition tasks. This work proposes a novel light wei...

Alternative Titles

Full title

Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB Images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2390350503

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2390350503

Other Identifiers

E-ISSN

2331-8422

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