09-001074

#### **Nonnegative Matrix Factorization with Data-Guided Constraints For Hyperspectral Unmixing** *Risheng Huang, Xiaorun Li and Liaoying Zhao*

This paper proposes a nonnegative matrix factorization with data-guided constraints (DGC-NMF) for hyperspectral unmixing where DGC-NMF imposes on the unknown abundance vector of each pixel with either an L1/2 constraint or an L2 constraint to enforce sparseness and evenness, respectively.
