Enhancing Pure-Pixel Identification Performance via Preconditioning
Enhancing Pure-Pixel Identification Performance via Preconditioning
In this paper, we analyze different preconditionings designed to enhance robustness of pure-pixel search algorithms, which are used for blind hyperspectral unmixing and which are equivalent to near-separable nonnegative matrix factorization algorithms. Our analysis focuses on the successive projection algorithm (SPA), a simple, efficient, and provably robust algorithm. Recently, a …