Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery

To achieve efficient lossless compression of hyperspectral images, we design a concatenated neural network, which is capable of extracting both spatial and spectral correlations for accurate pixel value prediction. Unlike conventional neural network based methods in the literature, the proposed neur...

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Detalles Bibliográficos
Autores principales: Jiang, Zhuocheng, Pan, W. David, Shen, Hongda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321058/
https://www.ncbi.nlm.nih.gov/pubmed/34460584
http://dx.doi.org/10.3390/jimaging6060038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321058/
https://www.ncbi.nlm.nih.gov/pubmed/34460584
http://dx.doi.org/10.3390/jimaging6060038

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