基于ENVI的北京2号遥感影像融合方法对比研究

Comparative Study of BJ-2 Remote Sensing Image Fusion Methods Based on ENVI

选取光学影像中的国产北京2号影像作为数据源,并以该地区的丘陵、平原、水域和建筑密集区域作为实验研究对象,利用ENVI软件中的PCA变换、Brovey变换、HSV变换、NNDiffuse变换和Gram-Schmidt变换5种融合方法对研究区域影像进行融合,并选取均值、标准差、信息熵、平均梯度和相关系数5个客观评价指标对5种融合方法融合后影像的质量进行分析。其研究结果可为优选出北京2号卫星数据影像融合的处理方法提供一定的参考价值。

The domestic BJ-2 remote sensing optical image is selected as the data source,and the hills,plains,waters and densely built areas in this area are taken as the experimental objects.The PCA transform,Brovey transform,HSV transform,NNDiffuse transform of ENVI software are used to fuse the images in the study area,and five objective evaluation indicators of mean,standard deviation,information entropy,average gradient and correlation coefficient are selected to analyze the quality of the images after fused by these five methods.The research results of this paper can provide some reference for optimizing the image fusion processing methods of Beijing-2 satellite data.