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Coupled non-negative matrix factorization (CNMF) is introduced for hyperspectral and multispectral data fusion. The CNMF fused data have little spectral distortion while enhancing spatial resolution of all hyperspectral band images owing to its unmixing based algorithm. CNMF is applied to the synthetic dataset generated from real airborne hyperspectral data taken over pasture area. The spectral quality...
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...
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