A novel hyperspectral compressive sensing framework of plant leaves based on multiple arbitrary-shape regions of interest
Massive plant hyperspectral images (HSIs) result in huge storage space and put a heavy burden for the traditional data acquisition and compression technology. For plant leaf HSIs, useful plant information is located in multiple arbitrary-shape regions of interest (MAROIs), while the background usual...
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| Auteurs principaux: | , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
PeerJ Inc.
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/1b5c0d51f1c141558504dc427eb6c7b4 |
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