Speed Matters, a robust infrared and visible image matching method at real-time speed-Reference-Cited by-同舟云学术

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Speed Matters, a robust infrared and visible image matching method at real-time speed

Published:2024-01-02 Issue:1 Volume:21 Page:
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Chang Rong,Yang Chuanxu,Zhang Hang,Xie Housheng,Zhou Chengjiang,Pan Anning,Yang Yang

Funder

Special Basic Coopera- tive Research Programs of Yunnan Provincial Undergradu- ate Universities’ Association

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11554-023-01395-4.pdf

Reference34 articles.

1. Baruch, E.B., Keller, Y.: Joint detection and matching of feature points in multimodal images. IEEE Trans. Pattern Anal. Mach. Intell. 44(10), 6585–6593 (2021)

2. Bay, H., Tuytelaars, T., Gool, L.V.: Surf: Speeded up robust features. In: European conference on computer vision, pp. 404–417. Springer (2006)

3. Cao, S.Y., Yu, B., Luo, L., Zhang, R., Chen, S.J., Li, C., Shen, H.L.: Pcnet: A structure similarity enhancement method for multispectral and multimodal image registration. Inform. Fusion 94, 200–214 (2023)

4. Cui, S., Zhong, Y., Ma, A., Zhang, L.: A novel robust feature descriptor for multi-source remote sensing image registration. In: IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 919–922. IEEE (2019)

5. Deng, Y., Ma, J.: Redfeat: Recoupling detection and description for multimodal feature learning. IEEE Trans. Image Process. 32, 591–602 (2022)

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