摘要
遥感影像融合方法可以分为空间域、分量替换、多尺度分析三类。文章从空间域方法中选择Brovey比值法和高通调制滤波法,从分量替换方法中选择色彩变换法,从多尺度分析方法中选择梯度金字塔法,使用这四种常用的融合方法对"资源一号"02C卫星全色/多光谱相机(panchromatic and multispectral sensor,PMS)数据进行了融合处理试验,并从主观评价和定量分析两个方面对融合效果进行了综合评价。结果表明:与PMS数据中的全色高分辨率影像相比,四种方法均可以增加融合后影像的光谱信息;与PMS数据中的多光谱低分辨率影像相比,四种方法均可以增加融合后影像中的空间细节信息。其中,梯度金字塔法在亮度信息、信息量和清晰度方面明显优于其它三种方法,但是较多地丢失了PMS数据中多光谱图像的光谱信息,光谱保持能力较差。色彩变换法可以很好地保持PMS数据多光谱影像的光谱信息,光谱扭曲度较小,但是亮度信息和清晰度表现能力一般。
Remote sensing imagery fusion can be divided into three categories, including space domain processing, component substitution and multi-scale analysis. Four popular remote sensing image fusion methods, such as Brovey, HPM, HIS and gradient pyramid, are used to composite the panchromatic image and multispectral image of ZY-1-02 C satellite PMS data in this paper. Their fusion images have also been evaluated and analyzed by subjective analysis and quantitative analysis individually. The test result shows that these methods can enhance space information of fusion image compared to the multispectral image, and spectral information of fusion image compared to the panchromatic image. The gradient pyramid is better than the other three methods in the brightness, information and clearness. However, it loses much spectral information. On the contrary, IHS can well reserve the spectral information and its spectral distortion is least. But it can not perform well in the brightness and clearness. Therefore, the best fusion image of PMS data can be obtained and owns both more space information and spectral information if the IHS and gradient pyramid can be combined.
出处
《航天返回与遥感》
北大核心
2015年第5期83-95,共13页
Spacecraft Recovery & Remote Sensing
基金
国家科技部对外科技合作项目(2012DFF10060)
"资源一号"02C卫星工程(发改高计2011348号)
