基于PCA变换的遥感影像融合算法

Image fusion based on PCA transform

本文是在研究传统IHS变换融合方法的基础上,提出了基于PCA变换的遥感影像融合算法。通过PCA变换,在尽可能的保留主要信息的前提下,除去波段之间的冗余数据,减少处理的数据量,来提高融合的效率;通过PCA变换进行波段重采样合成新的彩色图像,再与滤波处理后的全色图像进行融合。实际数据测试,证明了本文方法的可行性,并达到了预期的融合效果。

In this paper , a new image fusion method is discovered which is based on PCA transform. The new method is based on principal component analysis （PCA） transform provides a better fusion result . By PCA transform, re-samping the multi-spectral images of the band integrate with the full color images . Through the PCA transformation, as far as possible to retain the main premise of the information, except for the band between the redundant data to reduce the amount of data processing, to improve the efficiency of fusion .The results show that the method has a better fusion of the results .After experimental data analysis and comparison of new methods ,it keeps the multi-spectral image color information and has been greatly increased.