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- W2908134370 abstract "Typical image registration techniques use a set of features from a target and reference images and search in the affine transformation space using a similarity metric. Neural Networks typically have employed two choices—geometric transformations to find correlation between images and a similarity metric. In this paper, however, we have proposed and employed a simple and effective method for image registration using neural networks. The image registration has been formulated as a classification problem. By generating and learning exhaustive synthetic reference image transformations appropriate re-transformation for target image is computed for effective registration. The proposed work is tested on satellite imagery." @default.
- W2908134370 created "2019-01-11" @default.
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- W2908134370 date "2019-01-01" @default.
- W2908134370 modified "2023-10-18" @default.
- W2908134370 title "Neural Network Based Image Registration Using Synthetic Reference Image Rotation" @default.
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- W2908134370 doi "https://doi.org/10.1007/978-3-030-00665-5_88" @default.
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