The fusion of a high-spatial-resolution (HSR) panchromatic band and several multispectral bands with a relative low spatial resolution has become a research focus with the development of HSR remote sensing technology. Previous studies have demonstrated that fused spectra of mixed pixels (MPs) remain mixed, which considerably contributes to spectral distortions observed in fused images produced by most of the current pansharpening methods. Several works have attempted to reduce spectral distortions of fused spectra of MPs to improve the quality of fused products generated by some fusion methods based on component substitution (CS). An image fusion framework for reducing spectral distortions caused by the incorrect fusion of MPs is proposed for both CS and fusion methods based on multiresolution analysis (MRA). Using the proposed framework based on image segmentation, the fused products of two classic MRA-based pansharpening methods were improved by improving the fusion spectra of MPs. The improved fused images were compared with the original fusion products through a fusion experiment using three datasets recorded by WorldView-2, GeoEye-1, and WorldView-3. Experimental results showed that the improved fused products yielded higher Q2n and quality with no reference values and lower relative average spectral error, dimensionless global relative error of synthesis, and spectral angle mapper values than the corresponding original fusion products. This indicates that the proposed image fusion framework is effective for reducing spectral distortions of fused images generated by the two MRA-based fusion methods.
You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.