基于小波变换一致性检测的遥感影像融合

Remotely sensed image fusion based on wavelet transform and consistency detection

通过分析一些经典遥感影像融合方法的不足,提出了一种基于小波变换一致性检测的遥感影像融合方法。其基本思想是在基于局部方差融合方法的基础上,采用"多数"原则对各个像素的8个邻域进行一致性检测,并进行相应调整,以保持融合后的高频细节分量具有一致性。通过仿真实验以及相应评价指标的衡量证明了该方法在遥感影像融合方面的有效性和优越性。

Through analyzing the shortages of some classical remote sensing image fusion methods, a fusion method based on wavelet transform and consistency detection is proposed in this paper. The basic idea is using the ＂majority＂ principle to detect the consistency of eight neighborhoods of each pixel and making corresponding adjustment, which is based on the fusion method of local variance. The purpose of consistency detection is to maintain the consistency of high-frequency component after the fusion. Experimental results and evaluating indicators show that it is possible to significantly improve the classical fusion methods with the proposed approach.