Improving Generalizability of Spectral Reflectance Reconstruction Using L1-Norm Penalization

Spectral reflectance reconstruction for multispectral images (such as Weiner estimation) may perform sub-optimally when the object being measured has a texture that is not in the training set. The accuracy of the reconstruction is significantly lower without training samples. We propose an improved...

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Detalles Bibliográficos
Autores principales: Yao, Pengpeng, Wu, Hochung, Xin, John H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861650/
https://www.ncbi.nlm.nih.gov/pubmed/36679486
http://dx.doi.org/10.3390/s23020689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861650/
https://www.ncbi.nlm.nih.gov/pubmed/36679486
http://dx.doi.org/10.3390/s23020689

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