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Reports (Technical Report) Year : 2020

Comments on «Automatic Target Detection for Sparse Hyperspectral Images» by Ahmad W. Bitar et al.

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Abstract

In this technical report, we explain how our proposed sparse and low-rank matrix decomposition method for hyperspectral target detection, provided in our work «Automatic Target Detection for Sparse Hyperspectral Images [1]», can be extended to the lq norm (0 < q ≤ 1). Since the use of the l1 norm is still too far away from the ideal l0 norm, many non-convex regularizers, interpolated between the l0 norm and the l1 norm, have been proposed to better approximate the l0 norm.
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Dates and versions

hal-02754410 , version 1 (03-06-2020)

Identifiers

  • HAL Id : hal-02754410 , version 1

Cite

Ahmad W. Bitar, Ali Chehab, Jean-Philippe Ovarlez. Comments on «Automatic Target Detection for Sparse Hyperspectral Images» by Ahmad W. Bitar et al.. [Technical Report] American University of Beirut; CentraleSupélec, Université Paris-Saclay; ONERA -- The French Aerospace Lab. 2020. ⟨hal-02754410⟩
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