Abstract
Pansharpening techniques aim at fusing low-resolution multispectral (MS) images and high-resolution panchromatic (PAN) images to produce high-resolution MS images. Despite significant progress in the field, spectral and spatial distortions might still compromise the quality of the results. We introduce a restoration strategy to mitigate artifacts of fused products. After applying the Principal Component Analysis (PCA) transform to a pansharpened image, the chromatic components are filtered conditionally to the geometry of PAN. The structural component is then replaced by the locally histogram-matched PAN for spatial enhancement. Experimental results illustrate the efficiency of the proposed restoration chain.
Abstract (translated)
Pansharpening技术旨在融合低分辨率多光谱（MS）图像和高分辨率全色（PAN）图像，以生成高分辨率MS图像。尽管该领域取得了重大进展，但光谱和空间扭曲仍可能影响结果的质量。我们引入了一种恢复策略来减轻融合产品的伪影。在将主成分分析（PCA）变换应用于pansharpened图像之后，有色分量被有条件地过滤到PAN的几何形状。然后用局部直方图匹配的PAN代替结构组件以进行空间增强。实验结果说明了所提出的恢复链的效率。
URL
https://arxiv.org/abs/1710.00672
