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15 October 2012 Large range rotation distortion measurement for remote sensing images based on volume holographic optical correlator
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Abstract
Volume holographic optical correlator can compute the correlation results between images at a super-high speed. In the application of remote imaging processing such as scene matching, 6,000 template images have been angularly multiplexed in the photorefractive crystal and the 6,000 parallel processing channels are achieved. In order to detect the correlation pattern of images precisely and distinguishingly, an on-off pixel inverted technology of images is proposed. It can fully use the CCD’s linear range for detection and expand the normalized correlation value differences as the target image rotates. Due to the natural characteristics of the remote sensing images, the statistical formulas between the rotation distortions and the correlation results can be estimated. The rotation distortion components can be estimated by curve fitting method with the data of correlation results. The intensities of the correlation spots are related to the distortion between the two images. The rotation distortion could be derived from the intensities in the post processing procedure. With 18 rotations of the input image and sending them into the volume holographic system, the detection of the rotation variation in the range of 180° can be fulfilled. So the large range rotation distortion detection is firstly realized. It offers a fast, large range rotation measurement method for image distortions.
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Tianxiang Zheng, Liangcai Cao, Tian Zhao, Qingsheng He, and Guofan Jin "Large range rotation distortion measurement for remote sensing images based on volume holographic optical correlator", Proc. SPIE 8498, Optics and Photonics for Information Processing VI, 84980F (15 October 2012); https://doi.org/10.1117/12.929182
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