The invention discloses a method for realizing
image registration of a
synthetic aperture radar (SAR) by using three components of monogenic signals, belonging to the technical field of
image processing and registration of SARs. The conventional gradient information-based detection method and cross
correlation matching method have the defects of excessive detected characteristic points, overlong detection time, low registration accuracies and the like when applied to
image registration of an SAR. A method for matching a detection
algorithm of monogenic
signal phase congruency with monogenic
signal phase correlation is given, and three orthogonal monogenic
signal component signals are generated by designing a
frequency domain Log-
Gabor filter. One path of the monogenic signal component signals is transmitted to a characteristic
detector, i.e., a local amplitude and a local phase are resolved by using three components to construct a monogenic signal
phase congruency function for detecting the
phase congruency characteristic. Another path of the monogenic signal component signals is transmitted to a matcher, and a characteristic description vector is constructed by using three components of the monogenic signals; a characteristic vector correlation matrix is obtained by calculating the characteristic vector correlation of a
reference image and characteristic points in an image to be registered; and largest line elements and column elements in the characteristic vector correlation matrix are searched and are indexed to a coarsely-matched
characteristic point pair, so that coarse characteristic matching is realized. An affine basic matrix is fitted by using an RANSAC (Random Sample
Consensus Algorithm), so that accurate matching of characteristic points is completed. An affine conversion model is used for realizing
image registration of the SAR. The
algorithm disclosed by the invention has the advantages of realization of automatic registration of SAR images, high registration speed, small influence by
speckle noise, high registration accuracy and popularization and application values.