【作者】 温黎茗； 彭力； 谢林柏；

【Author】 WEN Liming~(1)),PENG Li~(2)),XIE Linbo~(3)) 1)2)3)(School of Internet of Things Engineering,,Jiangnan University,,wuxi,214122)

【机构】 江南大学物联网工程学院；

【摘要】 为了将低分辨率多光谱图像与高分辨率全色图像进行有效地融合,提出了一种基于IHS变换结合小波变换的新的图像融合算法。该方法将多光谱图像的强度(I)分量图像与高分辨率全色图像进行小波分解,根据各自的高低频率特征进行不同准则的融合,将形成的新的高低频率进行小波逆变换得到新的I分量图像,最后进行IHS逆变换得到最终的融合图像。实验结果表明,该方法不仅减少了光谱扭曲值,同时还能有效地提高空间分辨率。更多还原

【Abstract】 In order to fuse a low-resolution multispectrum image and a high-resolution panchromatic image effectively, a new image fusion method based on the combination of IHS and wavelet transformation is proposed.The intensity component of the multispectrum image and the high-resolution panchromatic image are decomposed by wavelet transformation.Used different fusion rules to fuse them according to the coefficients of low frequency and high frequency, then gain the new I component by inverse wavelet transform,and finally obtain the fused image by inverse IHS transform. Experimental results show that the proposed algorithm not only can reduce the spectral distortion but also make a high quality of the fuse images.更多还原