Satellite image band registration with Dynamic Time Warping and Discrete Wavelet Transform

Due to the imperfect physical arrangement of camera sensors, spectral bands of ground observation satellite images are usually shifted relative to each other. In order to address this issue, we propose a computationally simple band registration method which is based on Dynamic Time Warping (DTW) and Discrete Wavelet Transform (DWT) algorithms. This method has been tested on 10 frames of GOKTURK-2 images and compared to a Scale-Invariant Feature Transform (SIFT) based method. In terms of quality, the proposed method have yielded very close results compared to SIFT.