Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3064708
Abstract: A hyperspectral image sequence can be obtained at different time in the same region from a hyperspectral sensor. The environmental change usually leads to variation in endmember reflectance, which has an important influence on unmixing… read more here.
Keywords: abundance endmember; endmember variability; image sequence; variability ... See more keywords
Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3121799
Abstract: The complex nature of hyperspectral images makes the analysis of spectral signatures a challenging task in remote sensing. For quantitative analysis, spectral unmixing is a well-established and effective tool to analyze the spectra and spatial… read more here.
Keywords: endmember variability; probabilistic generative; variability; endmember ... See more keywords