Abstract
Multimodal image matching is a crucial technique for aircraft navigation in GPS denied environment. However, the nonlinear radiometric difference between multimodal images and significant image noise make this task considerably challenging. A multimodal image registration algorithm build on structural features is presented. The method can also accurately extract structural features in the case of severe noise distortion. Besides, A similarity measure method based on parallelism is presented for adapting nonlinear grayscale distortion. The evaluation show that the algorithm has significant superiority over other state-of-the-art algorithms.
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Acknowledgement
This study was supported by the National Natural Science Foundations of China (No. 61802423, No.11902349) and the Natural Science Foundations of Hunan Province, China (No. 2020JJ5663, No.2020JJ5645).
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Wang, X., Zhao, J., su, A., Guan, B., Dong, J., Han, S. (2023). A Multimodal Image Matching Algorithm Based on Structure Feature. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_5
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DOI: https://doi.org/10.1007/978-981-19-6613-2_5
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