一种基于特征量积的遥感图像融合方法

提出了一种基于特征量积的遥感图像融合方法。以目前卫星遥感领域最常见的传感器图像、多光谱图像和全色图像为例,首先对多光谱图像作IHS变换,并对全色图像和多光谱图像的亮度分量I进行小波分解,得到不同分辨率下的小波系数特征,然后根据特征量积判决准则对多光谱图像的I分量与全色图像进行特征融合,并对高频域融合规则进行一致性检测,进而用融合结果替代多光谱图像的亮度分量I,最后,作IHS反变换得到融合图像。实验结果表明,融合图像既显著地融入了高空间分辨率图像的细节信息,又有效地保留了多光谱图像的光谱信息,同时信息丰富程度增加,从而使融合图像在保持光谱信息和提高空间分辨率两个方面的综合性能达到很好的平衡。

Feature product-based remote sensing image fusion method

In this paper,a feature product-based image fusion method between multi-spectral image and PAN image is proposed, Firstly,the multi-spectral image is transformed by IHS transform,and the components of 1,14 and S are obtained.Secondly, panchromatic images and the component i of the multi-spectral image are merged with feature product-based fusion method, furthermore we verify the consistency of the wavelet coefficient feature,and I component is replaced by the merged data.Finally, the fusion image is obtained by inverse IHS transform.The experimental result indicates that the new method is effective,and it enhances spatial detail information of the fusion image largely and preserves spectral information of the original multi-spectral image well.