Remote sensing image fusion by multi-ary wavelet transform combining multiple dimension texture features

The remote sensing image fusion method based on multi-band wavelet combining with multiple dimension texture features was discussed. In the fusion process, the high resolution panchromatic image and multi-spectral image were decomposed with multi-ary wavelet first and then local variance, local average grads, local energy and local information entropy texture features were extracted. After that the high frequency ingredients of high resolution image and R, G, B bands image by multi-band wavelet transform were fused based on combing multiple criteria of multiple dimension texture features and the high frequency ingredients of high resolution image was formed. The inverse multi-band wavelet transform was done based on low frequency ingredients of R, G, B bands image and new high frequency ingredients separately. Using 3-band wavelet transform, the fusion of 10 m resolution SPOT panchromatic and 30 m resolution TM image in Huainan mine was experimented. Visual interpretation (qualitative evaluation), spectral curve analysis and quantitative evaluation were applied to assess the method. The results show that this method can not only improve the definition and resolution of the multi-spectral image, but also retain the color feature.