2019/08/14 · Abstract: Linear hyperspectral unmixing (HU) aims at factoring the observation matrix into an endmember matrix and an abundance matrix.

Abstract—Linear hyperspectral unmixing (HU) aims at fac- toring the observation matrix into an endmember matrix and an abundance matrix.

2019/08/20 · Linear hyperspectral unmixing (HU) aims at factoring the observation matrix into an endmember matrix and an abundance matrix.

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A parameter-free hyperspectral unmixing method (NMF-QMV) based on nonnegative matrix factorization-quadratic minimum volume.

This demo illustrates the NMF_QMV hyperspectral unmixing algorithm operating in simulated Dataset1 (SCENARIO: non pure pixels, various number of endmembers and ...

This paper introduces a novel convex volume term, based on which a new convex minimum simplex volume method is derived.

Blind hyperspectral unmixing (HU) means that the spectral information of endmembers is unknown, which requires both identification of endmembers and estimation ...

2024/07/03 · Hyperspectral (HS) unmixing is the process of decomposing an HS image into material-specific spectra (endmembers) and their spatial ...