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本文提出一种快速离散Curvelet变换(FDCT)和IHS变换集成的遥感影像融合方法,可获得较传统方法更高质量的融合影像。在融合过程中,通过FDCT获取I分量的多尺度多方向系数集合,采用标准差加权的融合策略,自适应地调整空间细节与光谱信息的权重,从而达到最佳融合空间细节与光谱信息的效果。作者选择QuickBird和WorldView-2全色和多光谱影像进行融合实验,并与基于传统IHS、FDCT的方法进行了比较,采用两种评价模型,选择偏差指数、UIQI等质量指标进行客观量化评价,验证了本文方法的优越性。
In this paper, a remote sensing image fusion method based on fast discrete Curvelet Transform (FDCT) and IHS transform is proposed, which can obtain higher quality fusion images than traditional methods. In the process of fusion, the multi-scale and multi-directional coefficient sets of I component are obtained by FDCT. The standard deviation weighted fusion strategy is used to adaptively adjust the spatial details and the weight of spectral information to achieve the best fusion spatial detail and spectral information . The authors selected the fusion experiments of QuickBird and WorldView-2 panchromatic and multispectral images and compared them with the traditional IHS and FDCT methods. Two kinds of evaluation models, selected deviation index, UIQI and other quality indicators were used to evaluate the quality and verify The superiority of this method.