Neural Network Architectures for Assessing the Accuracy of Image Registration-Reference-Cited by-同舟云学术

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Neural Network Architectures for Assessing the Accuracy of Image Registration

Published:2023-11-13 Issue: Volume: Page:67-70
ISSN:
Container-title:2023 IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo)
language:
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Author:

Dushepa Vitaliy¹,Baryshev Igor¹

Affiliation:

1. National Aerospace University “Kharkiv Aviation Institute”,Department of Aerospace Radio-Electronic Systems,Kharkiv,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10380266/10380327/10380390.pdf?arnumber=10380390

Reference11 articles.

1. Advances and Challenges in Multimodal Remote Sensing Image Registration

2. LoFTR: Detector-Free Local Feature Matching with Transformers

3. A Machine Learning Approach for Image Registration Accuracy Estimation

4. Efficient Discrimination and Localization of Multimodal Remote Sensing Images Using CNN-Based Prediction of Localization Uncertainty

5. A learning-based approach for rigid image registration accuracy estimation

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