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Cofactor-Based Efficient Endmember Extraction for Green Algae Area Estimation
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DOI：10.1109/LGRS.2018.2888574.png)
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We present a cofactor-based endmember extraction strategy for estimating green algae area in geostationary ocean color imager multispectral images. Our strategy improves the efficiency of the widely used N-FINDR endmember extraction method from two aspects. First, our strategy exploits the cofactor matrix for searching the largest simplex volume, which just computes matrix inverse and determinant for a small number of times (or even once). This is more efficient than the enumeration of determinants for all pixels in N-FINDR. Second, our strategy empirically obtains optimal endmembers through a few recursive iterations of cofactor matrix updates, contrasting a large number of repetitive volume maximizations with random initializations in N-FINDR. Experimental evaluation in terms of green algae area estimation validates that our strategy achieves the same accuracy as N-FINDR with much more efficiency.
Keyword:
Cofactor
endmember extraction
N-FINDR
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