@article{Liu:2008,
author = {Liu, J-G and Yan, H},
journal = {International Journal of Remote Sensing},
pages = {5943--5956},
title = {Phase correlation pixel-to-pixel image co-registration based on optical flow and median shift propagation},
volume = {29},
year = {2008}
}

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TY  - JOUR
AB  - With singular value decomposition (SVD) and robust 2-dimensional fitting phase  correlation algorithms, it is possible to achieve pixel-to-pixel image coregistration  at sub-pixel accuracy via local feature matching. However, the  method often fails in featureless and low correlation areas making it not robust  for co-registration of images with considerable spectral differences and large  featureless ground objects. A median shift propagation (MSP) technique is  proposed to eliminate the problem, in a phase correlation and Normalized Cross-  Correlation (NCC) combined approach. The experiment results using images  from different sensor platforms and spectral bands indicate that the new method  is very robust to featureless and low correlation areas and can achieve very  accurate pixel-to-pixel image co-registration with good tolerance of spectral and  spatial differences between images. The method will significantly improve change  detection in various remote sensing applications.
AU  - Liu,J-G
AU  - Yan,H
EP  - 5956
PY  - 2008///
SP  - 5943
TI  - Phase correlation pixel-to-pixel image co-registration based on optical flow and median shift propagation
T2  - International Journal of Remote Sensing
VL  - 29
ER  - 

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