A new scheme for decomposition of mixed pixels based on nonnegative matrix factorization

The simplex-based methods are a kind of the most important and widely used methods for the decomposition of mixed pixels in multispectral and hyperspectral remote sensing images, which need a strong basic hypothesis that there is at least one pure pixel for every endmember existing in the images. N- FINDR is of typical sense in this kind of methods, and it also needs this basic hypothesis. Unfortunately, the precision for the decomposition of mixed pixels will be seriously influenced if this hypothesis cannot be met in practice. This paper presents a new scheme based on Nonnegative Matrix Factorization (NMF) to solve this problem. In addition, some appropriate constrains are introduced into NMF for the decomposition of mixed pixels. Experimental results obtained from both artificial simulated and real-world remote sensing data demonstrate that the proposed scheme for decomposition of mixed pixels has excellent analytical performance.