Remote sensing image fusion based on his-À Trous transform and local regional features

The traditional Mallat´s algorithm uses an orthogonal wavelet basis, but the transform is not shift-invariant, and the Mallat´s algorithm has a major disadvantage for it contains interpolation and decimation, which can be a problem in signal analysis or pattern recognition. Moreover, with the increasing of decomposition level, the loss of spectrum becomes more serious. So in this paper, a new method that combines local regional features fusion rule with traditional HSI - À Trous algorithm to fuse the ETM+ remote sensing images is proposed. By comparing its result with HSI-DWT algorithm as well as traditional À Trous algorithm, the results indicate the new method can not only preserve spatial details information better, but also greatly reduce the spectrum loss of the multi-spectral images.