不同遥感影像融合方法的质量评价

近年来,随着遥感技术的迅猛发展,多源遥感影像数据越来越多,有效利用这些海量遥感数据是遥感领域的一大热门话题,同时,对融合后的遥感影像进行质量评价使融合处理过程得到优化,也是影像融合中必不可少的一个重要环节。重点利用ERDAS软件,分别采用Brovey变换法、IHS变换法、高通滤波法以及主成分分析法对影像进行融合实验,并对融合后的影像进行主观评价;采用Matlab编写程序,提取了融合影像的定量评价指标均值、标准差、平均梯度、信息熵和相关系数,完成了对融合影像的客观评价;最后对融合后的遥感影像进行了对比分析,得出主成分分析法的影像在光谱保持特性上最好,Brovey法在信息量的保持和清晰度上都优于其他的融合方法,而通过IHS变换法的融合影像与原始影像的相关性最好的结论。

Quality Evaluation of Different Remote Sensing Image Fusion Method

In recent years,with the rapid development of remote sensing,multi-source remote sensing data is becoming more and more.How to make full use of these massive data is a hot topic.At the same time,evaluating the quality of fusion image which makes integration process optimized is also an essential part.This paper made use of ERDAS software,and respectively used Brovey transform method,IHS transform method,high-pass filter method and the principal component analysis to fuse images.Subjective evaluation was made in the fusion images.Quantitative evaluation of fusion image was completed by extracting quantitative evaluation index the mean,standard deviation,average gradient,information entropy,correlation coefficient from fusion images with Matlab program.In the end,the fusion image was compared and analyzed to draw the following conclusion: fusion image of principal component analysis in the spectral characteristics is the best,brovey transform method in the preservation of information and clarity is better than the other fusion methods,fusion image of IHS transform method has the best correlation with the original image.