Spectral unmixing with nonnegative matrix factorization

摘要

The present study is an illustration of the application of Nonnegative Matrix Factorization (NMF) to the problem of linear unmixing of mineral endmembers in hyperspectral images. NMF can be seen as for nonnegative linear coding of the data points. We will show how a novel implementation of the NMF is able to perform both endmember extraction and abundance calculation. A synthetic example, used to illustrate the issue shows that NMF correctly identifies endmembers in a random mixing of real library spectra.