In this section
@article{Wan:2015:10.1109/TGRS.2015.2429740,
author = {Wan, X and Liu, JG and Yan, H},
doi = {10.1109/TGRS.2015.2429740},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
pages = {5746--5759},
title = {The Illumination Robustness of Phase Correlation for Image Alignment},
url = {http://dx.doi.org/10.1109/TGRS.2015.2429740},
volume = {53},
year = {2015}
}
TY - JOUR
AB - Phase correlation (PC) is a well-established imagematching algorithm. It is robust to the variation of image contrastand brightness, but whether it is invariant to local illuminationchange, particularly sun angle change, is yet to be investigated.This paper presents our study to prove and demonstrate therobustness of illumination invariance of the PC algorithm viamathematical analysis and image matching experiments. First, a3-D space named slope-aspect-intensity (SAI) is proposed to characterizethe 3-D relationship between image intensity and terrainslope/aspect angles for a given illumination geometry. Based onthe SAI space, the mathematical relationship between PC crosspowerspectra and illumination direction (e.g., solar azimuth andzenith angles) is analyzed. The impact of illumination angle variationbetween two images for matching is then rigorously investigatedvia experiments using simulated terrain shading imagesfrom a digital elevation model and real optical images taken underdifferent sun illumination conditions. Our study confirms that PCis robustly invariant to illumination and therefore can achievereliable matching between images taken under different solarillumination conditions for various remote sensing applications.
AU - Wan,X
AU - Liu,JG
AU - Yan,H
DO - 10.1109/TGRS.2015.2429740
EP - 5759
PY - 2015///
SN - 0196-2892
SP - 5746
TI - The Illumination Robustness of Phase Correlation for Image Alignment
T2 - IEEE Transactions on Geoscience and Remote Sensing
UR - http://dx.doi.org/10.1109/TGRS.2015.2429740
VL - 53
ER -