Hyperspectral image fusion via sc-NMF

The fusion of hyperspectral image (HSI) and panchromatic image (PI) is a crucial and useful technique. The fused image possesses good spatial and spectral quality, and it is very helpful for the follow-up image processing. By using spectral constrained express, the traditional NMF (nonnegative matrix factorization) was improved, and used it in the hyperspectral image fusion. Firstly, the hyperspectral image was decomposed into basis and weight, then the details of hyperspectral image were sharpened by enhancing the details of the basis with high resolution image. Meanwhile, a spectral constraint function was added in the model to preserve the spectral information. Therefore, the fused image obtained by the proposed fusion model possesses good spatial and spectral information at the same time. At last, the experiments on simulated and real data were done with conventional and the proposed methods. The proposed method behaves better both in visual and objective indices, indicating it is a better choice for HSI fusion.