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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641574/ https://www.ncbi.nlm.nih.gov/pubmed/34909466 http://dx.doi.org/10.7717/peerj-cs.802 |