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Unmixing multitemporal hyperspectral images with variability: an online algorithm

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Academic year: 2021

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Fig. 1. Endmembers (red lines) and variability (blue dotted lines) [true endmembers and variability on the first line, endmembers  re-covered by the proposed method on the second line, VCA-extracted endmembers on the third line, SISAL-extracted endmembers
Fig. 2. First endmember abundance maps [0: black, 1: white] (true maps on the first row, proposed method on the second, VCA/FCLS on the third, SISAL/FCLS on the fourth)

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