基于IHS对偶树复小波变换的遥感图像融合方法
Remote Sensing Image Fusion Based on IHS and Dual-Tree Complex Wavelet Transform
本文提出了基于对偶树复小波变换(DT_CWT)和IHS变换结合的遥感图像融合算法,算法首先对多光谱图像进行IHS变换得到I分量,然后对IKONOS全色图像和I分量分别进行对偶树复小波分解,得到各自的低频和高频系数,选择一定的融合规则得到融合图像的低频和高频系数,然后通过对偶树复小波逆变换得到新的I分量,最后进行IHS逆变换得到最终的融合图像。实验结果表明,此方法能显著提高融合图像的分辨率,同时又保持了原始多光谱图像的光谱信息。
In this paper, we introduce a new method based on IHS and the dual-tree complex wavelet transform. Firstly, transform the multispectral image into the IHS components, decomposing the panchromatic and the intensity component into dual-tree wavelet planes, replacing the approximation image of the panchromatic decomposition by that of the intensity decomposition, then performing an inverse dual-tree wavelet transform to obtain a new intensity image, At last, performing the inverse IHS transform to get the fusion image. This method integrates the advantages of both the IHS techniques and the dual-tree complex wavelet techniques to reduce the colour distortion of IKONOS fusion result.
高卫平、汪西莉
摄影技术
对偶树复小波变换IHS变换遥感图像融合相关系数
dual-tree wavelet transform IHS transform remote sensing image fusion coefficient.
高卫平,汪西莉.基于IHS对偶树复小波变换的遥感图像融合方法[EB/OL].(2008-03-10)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200803-208.点此复制
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