The Minimum Volume Constrained Non-negative Matrix Factorization (MVC-NMF) is an unsupervised endmember extraction algorithm. It is designed for highly mixed image data.
run "nmf_test.m"
Lidan Miao, Hairong Qi (hqi@utk.edu), EECS, University of Tennessee, Knoxville
L. Miao, H. Qi, "Endmember extraction from highly mixed data using minimum volume constrained non-negative matrix factorization," IEEE Transactions on Geoscience and Remote Sensing, 45(3):765-777, March 2007.
The paper received the Highest Impact Paper Award in 2012 from the IEEE Geoscience and Remote Sensing Society.