基于成像系统物理特性的多光谱图像与全色波段图像融合

提出了一种基于成像系统物理特性的多光谱图像与全色波段图像融合算法。该算法采用àtrous小波变换提取全色波段图像的空间细节信息,并将提取的空间信息按照一定的注入模型调整后添加到各波段多光谱图像中去,得到具有高空间分辨力的多光谱图像。注入模型充分考虑了各波段成像传感器的相对光谱响应函数、地表物体对各波段的光谱反射率以及各波段的辐射调整系数等成像系统的物理特性,使融合后的多光谱图像在显著提高空间质量的同时,最大可能地保留了原始多光谱图像的光谱特性。对IKONOS卫星遥感影像的融合实验结果表明,该算法在光谱保留和空间质量提高方面较其它基于小波变换的融合算法都具有更高的性能。

Fusion of Multispectral and Panchromatic Images Based on the Physical Characteristics of Imaging System

A novel algorithm for multispectral and panchromatic images based on the physical characteristics of the imaging systems is proposed. In the new algorithm, the d trous wavelet transform is used to extract the detail information of the panchromatic image, and after being adjusted with a certain injection model, the extracted information is injected into the original multispectral images. Multispectral images with high spatial resolution are obtained. Some physical characteristics of the imaging system, including the relative spectral response of multispectral sensors, reflectance of the objects on the earth surface and radiometric calibration coefficient of each band, have been taken into account in the proposed injection model. With the proposed algorithm, the spatial quality of fused multispectral images is improved, and meanwhile the spectral characteristics of original multispectral images are preserved as much as possible. We have used the method to merge a set of IKONOS images. The results demonstrate that the proposed approach performs significantly better than other wavelet transform-based methods in the spatial resolution improvement and spectral information preservation.