Cargando…

Non-Negative Matrix Factorization Based on Smoothing and Sparse Constraints for Hyperspectral Unmixing

Hyperspectral unmixing (HU) is a technique for estimating a set of pure source signals (end members) and their proportions (abundances) from each pixel of the hyperspectral image. Non-negative matrix factorization (NMF) can decompose the observation matrix into the product of two non-negative matric...

Descripción completa

Detalles Bibliográficos
Autores principales: Jia, Xiangxiang, Guo, Baofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319907/
https://www.ncbi.nlm.nih.gov/pubmed/35891096
http://dx.doi.org/10.3390/s22145417