Area-Correlated Spectral Unmixing Based on Bayesian Nonnegative Matrix Factorization
نویسندگان
چکیده
منابع مشابه
Area-Correlated Spectral Unmixing Based on Bayesian Nonnegative Matrix Factorization
To solve the problem of the spatial correlation for adjacent areas in traditional spectral unmixing methods, we propose an area-correlated spectral unmixing method based on Bayesian nonnegative matrix factorization. In the proposed method, the spatial correlation property between two adjacent areas is expressed by a priori probability density function, and the endmembers extracted from one of t...
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Nonnegative Matrix Factorization (NMF) is an unsupervised learning method that has been already applied to many applications of spectral signal unmixing. However, its efficiency in some applications strongly depends on optimization algorithms used for estimating the underlying nonnegatively constrained subproblems. In this paper, we attempt to tackle the optimization tasks with the inexact Inte...
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ژورنال
عنوان ژورنال: Open Journal of Applied Sciences
سال: 2013
ISSN: 2165-3917,2165-3925
DOI: 10.4236/ojapps.2013.31b009