基于IHS变换的最优树分解在遥感图像融合中的应用

探讨了遥感多光谱与全色波段图像的融合问题，分析了基于IHS变换的小波包变换分解的遥感图像融合方法，提出了基于最优树分解的融合方法。此方法首先将多光谱图像进行IHS变换，然后对I分量和全色图像进行小波包分解和最优树分解，再进行融合，最后进行IHS 逆变换得到融合图像。此方法不仅得到较好的图像主观视觉效果，而且兼顾了客观上熵最大的原则。

REMOTE SENSING IMAGE FUSION BASED ON IHS TRANSFORM AND BEST TREE TRANSFORM

This paper has discussed the problem of the fusion of the multi - spectral and panchromatic remote sensing images, studied the fusion method based on the IHS transform and Wavelet Packet Transform, and put forward the fusion method based on the IHS transform and Best Tree Transform. First, the multi - spectral remote sensing image is transformed with the IHS transform. Second, the panchromatic image and the I component of the multi - spectral image are transformed with the Wavelet Packet and the Best Tree Transform and then merged. At last, the merged image is obtained by inverse IHS Transform. The fusion image is fairly clear in vision and at the same time makes the entropy greatest.