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2 February 2023 Scene matching localization and orientation algorithm based on STN_Siamese network
Hai Xia, Shiwei Cheng, Xiaogang Yang, Ruitao Lu
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Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124621O (2023) https://doi.org/10.1117/12.2661047
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China
Abstract
Aiming at the problem that the traditional scene matching navigation algorithm needs to manually design features, a scene matching navigation algorithm based on improved Siamese network is proposed. First, the space transformation network module is fused with the original Siamese network to improve the fitting ability between the scene features, and then the improved network is applied to the location and orientation algorithm of aircraft. The experimental results show that the Siamese network image matching navigation algorithm based on the fusion space transformation module enhances the ability to deal with the rotation and translation transformation between the real-time image and the reference image. Compared with the original Siamese network, the algorithm in this paper optimizes the similarity of two scenes from different angles by an average of 9.04%, thus expanding the adaptability of the algorithm. Compared with the traditional template matching algorithm, this algorithm has higher matching accuracy and stronger robustness when the angle of the real-time image changes and has certain practical application value in navigation algorithms.
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Hai Xia, Shiwei Cheng, Xiaogang Yang, and Ruitao Lu "Scene matching localization and orientation algorithm based on STN_Siamese network", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124621O (2 February 2023); https://doi.org/10.1117/12.2661047
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KEYWORDS
Feature extraction
Convolutional neural networks
Image processing
Neural networks
Satellites
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