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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| 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 |