Remote Sensing Image Fusion Based on the WT-MB Method: A Case Study of the Landsat 8 OLI Image and the CBERS-04 P5 Image of Wuzhong City, Ningxia Hui Autonomous Region

The WT-MB transform image fusion method was designed to solve the integration of the Landsat 8 OLI multispectral image and the CBERS-04 P5 image. The GS, PCA, MLT, and Brovey methods were compared in their adaptation to deal with the fusion of the image of Wuzhong City, Ningxia Hui Autonomous Region. The fusion effects between the WT-MB and other four methods were also compared in terms of quantitative evaluation, visual interpretation evaluation and SVM classification accuracy evaluation. The classification accuracy of fused images was judged by the overall accuracy and Kappa coefficient. In addition to enhancing the space information of the OLI ima-ge, the WT-MB transform fusion method could maintain the spectral information of the OLI image more effectively, improve the accuracy of image classification and serve the environmental remote sensing monitoring more accurately and effectively.