基于PCA变换和光谱补偿的遥感影像融合方法

针对传统PCA融合方法光谱失真较严重的问题,本文从分析传感器的光谱响应范围的不一致性入手,通过预判融合图的光谱失真区域,对失真和非失真区域采用不同的融合策略。在非失真区域,采用传统的PCA融合方法进行融合,在失真区域,对第一主成分与全色图像进行小波融合,然后替换第一主成分。并提出了新型的多层融合流程,改善了融合图像走样的问题。实验表明,本文方法可以实现全色与多光谱图像的高保真融合,且方法的适应性较好。

Spectrum-keeping algorithm for fusing based on PCA

Aiming at the severe spectrum distortion of the traditional PCA fusion method,starting from anlysing the sensor non-consistency of spectrum response range,different fusion strategies were used for distortion region and non-distortion region by pre-judging the spectrum distortion region of the fusion image.In the non-distortion region,the traditional PCA method was used to fuse.While in the distortion region,the first principal component was replaced by the wavelet fusion of it and the pan chromatic image.And a new multilayer fusion flow was propsed to improve the distortion problem of fusion image.Experimental results show that the proposed method can achieve high fidelity of the image fusion have hign adaptability.