PCE: Piece-wise Convex Endmember Detection
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A new hyperspectral endmember detection method that represents endmembers as distributions, autonomously partitions the input data set into several convex regions, and simultaneously determines endmember distributions and proportion values for each convex region is presented. Spectral unmixing methods that treat endmembers as distributions or hyperspectral images as piece-wise convex data sets have not been previously developed.
A. Zare, P. Gader, “PCE: Piece-wise Convex Endmember Detection,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 6, pp. 2620-2632, June 2010.
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