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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Detalles Bibliográficos
Autores principales: Jia, Yuewei, Xue, Lingyun, Xu, Ping, Luo, Bin, Chen, Ke-nan, Zhu, Lei, Liu, Yian, Yan, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
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

Internet

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

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