Impact of hybrid pansharpening approaches applied to hyperspectral images

Pansharpening techniques can be divided into component substitution (CS) and multi-resolution analysis (MRA) based methods. Generally, the CS methods result in fused images having high spatial quality but the fused images suffer from spectral distortions. On the other hand, images obtained using MRA techniques are not as sharp as CS methods but they are spectrally consistent. Both substitution and filtering approaches are considered adequate when applied to multi-spectral and PAN images, but have many drawbacks when the low-resolution image is a hyperspectral image. Based on these findings, the use of a hybrid approach, combining the better spatial information of CS and the more accurate spectral information of MRA techniques, may result in an improvement in terms of spectral quality, spatial sharpness as well as computational time.