Improvement of MRA-Based Pansharpening Methods Through the Considerasion of Mixed Pixels

Abstract

Fusion of high-spatial-resolution (HSR) multispectral (MS) and Panchromatic (PAN) images has become a research focus with the development of HSR remote sensing technology. Previous research demonstrated that improving the fused versions of mixed pixels (MPs) is effective for improving the quality of fused products generated by some fusion methods based on component substitution. In this work, two pansharpening methods based on multiresolution analysis were improved through considering the fusion of MPs based on image segmentation. The improved methods were compared with several other state-of-the-art fusion methods using a fusion experiment using two datasets recorded by WorldView-2 and GeoEye-1, respectively. Experimental results showed that the proposed method offers the lowest spectral distortions and more sharpened boundaries between different images objects than other methods, especially for boundaries between vegetation and other non-vegetation objects.