A volume holographic correlator (VHC) can function as an optical processing unit (OPU). With its multi-channel
processing ability, the VHC is capable to extract inner products between the target image and all the stored remote
sensing images with high speed and high parallelism. An opto-electronic hybrid system based on the VHC for scene
matching is proposed. The innovative hybrid processing mode of the system combines the advantages of the high
parallelism in VHC with the high flexibility and accuracy of digital processing, improving the overall system
performances. The influences of the VHC’s unique multi-channel parallel processing ability on the system speed and
accuracy are theoretically studied in the context of different VHC working modes. The improvements of the system
adaptability for different situations, such as illumination conditions and noise, are also analyzed by numerical simulation.
Finally, experimental results are discussed to evaluate the system feasibility.
The volume holographic correlator can be used in the fast scene matching. However, the traditional volume holographic
recognition method is unable to implement rotation-invariant scene matching. In the multi-sample parallel estimation
method, the intensity of the multiple correlation spots can also reflect the information of the rotation angle between the
target image and the template image. Thus it can be used to derive the rotation angle in the post processing and the
rotation-invariant scene matching can be realized. The function between the rotation angle and the intensity value of the
correlation spots is presented. The experimental results show the validity of the proposed method. The rotation angle of
the target image can be precisely derived and the maximum rotation angle is as big as five degree. This method is able to
save much capacity of the volume holographic correlator, enlarge the scene matching scope and improve the recognition
accuracy.
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