MFTCFNet: infrared and visible image fusion network based on multi-layer feature tightly coupled
Author:
Funder
Natural Science Basic Research Program of Shaanxi Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03464-y.pdf
Reference46 articles.
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2. Gao, Y., Ma, S., Liu, J.: DCDR-GAN: A densely connected disentangled representation generative adversarial network for infrared and visible image fusion. IEEE Trans. Circuits Syst. Video Technol. 33, 549–561 (2023)
3. Ma, J., Ma, Y., Li, C.: Infrared and visible image fusion methods and applications: A survey. Inf. Fusion 45, 153–178 (2018)
4. Yang, Y., Liu, J., Huang, S., Lu, H., Wen, W.: VMDM-fusion: a saliency feature representation method for infrared and visible image fusion. Signal Image Video Process. 15(6), 1221–1229 (2021)
5. Farahnakian, F., Heikkonen, J.: Deep learning based multi-modal fusion architectures for maritime vessel detection. Remote Sens. 12(16), 2509 (2020)
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