改进IHS变换的图像融合方法研究

Improved IHS transform for remotely sensed imagery fusion

经典的IHS变换融合以其快速、简单的特点得到广泛应用,但该方法在显著提高图像空间分辨率的同时引起了严重的光谱失真。本文分析了IHS变换引起光谱失真的原因,并总结了已有的针对光谱失真的IHS变换改进算法,提出基于小波的IHS变换融合,利用小波分解尽可能地保留了原I分量中的光谱信息,在提高空间分辨率的同时减少了光谱失真。实验证明,本文方法有效地减少了融合结果的扭曲程度。

The Intensity-Hue-Saturation （IHS） method is a popular pan-sharpening method used for its efficiency and high spatial resolution. However, the final image produced seriously spectral distortion. In this paper, the authors analyzed the main reason of inducing spectral distortion, and by summarizing the other modifications, it is evident that Histogram Matching is an important for fusion, and the Parameter Tradeoff method cannot keep spatial information and preserve the spectral information at the same time. To overcome this problem, it introduced an approach to improve the original IHS transform which is based on wavelet, in which wavelet transform was used to keep the spectral information in intensity component I as much as possible. Experimental results demonstrated that the proposed method in this study could offere a feasible solution to the color distortion and spatial details problems. The experiment with two groups data as SPOT, CBERS and Worldview-2 was taken, and the results showed that this method was more effective for reducing spectral distortion of the fusion results.