PCE: Piece-wise Convex Endmember Detection
Abstract
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.
Citation
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.
Rights
OpenAccess.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.