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Sparse hyperspectral unmixing via arctan approximation of L0 norm | IEEE Conference Publication | IEEE Xplore

Sparse hyperspectral unmixing via arctan approximation of L0 norm


Abstract:

In this paper, we introduce a method of hyperspectral unmixing in the linear mixing model with the given library of the constituent materials. The proposed algorithm empl...Show More

Abstract:

In this paper, we introduce a method of hyperspectral unmixing in the linear mixing model with the given library of the constituent materials. The proposed algorithm employs an arctan function to approximate the l0 norm in the minimization problem. This approximation makes the objective function smooth, facilitates the convergence and results in reduced reconstruction errors. We evaluate the proposed method and compare it with other methods via simulation. This reveals that the proposed method outperforms the state-of-the-art methods and results in higher reconstruction signal-to-noise-ratio.
Date of Conference: 13-18 July 2014
Date Added to IEEE Xplore: 06 November 2014
Electronic ISBN:978-1-4799-5775-0

ISSN Information:

Conference Location: Quebec City, QC, Canada

References

References is not available for this document.