Metwalli Mohamed R, Nasr Ayman H, Allah Osama S Farag, El-Rabaie S, Abd El-Samie Fathi E
Data Reception, Analysis and Receiving Station Affairs Division, National Authority for Remote Sensing and Space Sciences, 23 Joseph Broz Tito St., El-Nozha El-Gedida, Cairo, Alf-Maskan 1564, Egypt.
J Opt Soc Am A Opt Image Sci Vis. 2010 Jun 1;27(6):1385-94. doi: 10.1364/JOSAA.27.001385.
This paper presents an integrated method for the fusion of satellite images. Several commercial earth observation satellites carry dual-resolution sensors, which provide high spatial resolution or simply high-resolution (HR) panchromatic (pan) images and low-resolution (LR) multi-spectral (MS) images. Image fusion methods are therefore required to integrate a high-spectral-resolution MS image with a high-spatial-resolution pan image to produce a pan-sharpened image with high spectral and spatial resolutions. Some image fusion methods such as the intensity, hue, and saturation (IHS) method, the principal component analysis (PCA) method, and the Brovey transform (BT) method provide HR MS images, but with low spectral quality. Another family of image fusion methods, such as the high-pass-filtering (HPF) method, operates on the basis of the injection of high frequency components from the HR pan image into the MS image. This family of methods provides less spectral distortion. In this paper, we propose the integration of the PCA method and the HPF method to provide a pan-sharpened MS image with superior spatial resolution and less spectral distortion. The experimental results show that the proposed fusion method retains the spectral characteristics of the MS image and, at the same time, improves the spatial resolution of the pan-sharpened image.
本文提出了一种用于卫星图像融合的综合方法。几颗商业地球观测卫星搭载了双分辨率传感器，这些传感器可提供高空间分辨率或简称为高分辨率（HR）的全色（pan）图像以及低分辨率（LR）的多光谱（MS）图像。因此，需要图像融合方法将高光谱分辨率的MS图像与高空间分辨率的pan图像进行整合，以生成具有高光谱和空间分辨率的锐化图像。一些图像融合方法，如强度、色调和饱和度（IHS）方法、主成分分析（PCA）方法和Brovey变换（BT）方法，可提供HR MS图像，但光谱质量较低。另一类图像融合方法，如高通滤波（HPF）方法，是基于将HR pan图像的高频成分注入到MS图像中进行操作的。这类方法的光谱失真较小。在本文中，我们提出将PCA方法和HPF方法相结合，以提供具有卓越空间分辨率且光谱失真较小的锐化MS图像。实验结果表明，所提出的融合方法保留了MS图像的光谱特征，同时提高了锐化图像的空间分辨率。
