Hyperspectral, multispectral, and panchromatic data fusion based on coupled non-negative matrix factorization

Coupled non-negative matrix factorization (CNMF) is applied to hyperspectral, multispectral, and panchromatic data fusion. This unmixing based method extracts and fuses hyperspectral endmember spectra and high-spatial-resolution abundance maps using these three data. An experiment with the synthetic data simulating ALOS-3 (advanced land observing satellite 3) dataset shows that the CNMF method has a possibility to produce fused data which have both high spatial and spectral resolutions with smaller spectral distortion.