Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers

References

1 
"Darbaghshahi, F. N., Mohammadi, M. R. and Soryani, M. (2022). “Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation.” IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 60, pp. 1-9, https://doi.org/10.1109/TGRS.2021.3131035."DOI
2 
"Isola, P., Zhu, J. Y., Zhou, T. and Efros, A. A. (2016). “Image-to-image translation with conditional adversarial networks.” arXiv: 1611.07004, https://doi.org/10.48550/arXiv.1611.07004."DOI
3 
"Ji, G., Wang, Z., Zhou, L., Xia, Y., Zhong, S. and Gong, S. (2021). “SAR image colorization using multidomain cycle-consistency generative adversarial network.” IEEE Geoscience and Remote Sensing Letters, IEEE, Vol. 18, No. 2, pp. 296-300, https://doi.org/10.1109/LGRS.2020.2969891."DOI
4 
"Ku, W. and Chung, D. (2018). “The method for colorizing SAR images of Kompsat-5 using cycle GAN with multi-scale discriminators.” Korean Journal of Remote Sensing, KSRS, Vol. 34, No. 6, pp. 1415-1425, https://doi.org/10.7780/kjrs.2018.34.6.3.8 (in Korean)."DOI
5 
"Lee, S. Y. and Chung, D. W. (2022). “Labeling dataset based colorization of SAR images using cycle GAN.” The Journal of Korean Institute of Electromagnetic Engineering and Science, KIEES, Vol. 33, No. 10, pp. 776-783, https://doi.org/10.5515/KJKIEES.2022.33.10.776 (in Korean)."DOI
6 
"Lee, J. H., Kim, K. and Kim, J. H. (2021). “Design of CycleGAN model for SAR image colorization.” Proceedings of 2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS), IEEE, Osaka, Japan, pp. 1-5, https://doi.org/10.1109/APWCS50173.2021.9548749."DOI
7 
"Li, J., Wu, Z., Hu, Z., Zhang, J., Li, M., Mo, L. and Molinier, M. (2020). “Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion.” ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, Vol. 166, pp. 373-389, https://doi.org/10.1016/j.isprsjprs.2020.06.021."DOI
8 
"Park, N. W., Park, M. G., Kwak, G. H. and Hong, S. (2023). “Deep learning-based virtual optical image generation and its application to early crop mapping.” Applied Sciences, MDPI, Vol. 13, No. 3, 1766, https://doi.org/10.3390/app13031766."DOI
9 
"Seo, D. K., Kim, Y. H., Eo, Y. D., Lee, M. H. and Park, W. Y. (2018). “Fusion of SAR and multispectral images using random forest regression for change detection.” International Journal of Geo-Information, MDPI, Vol. 7, No. 10, 401, https://doi.org/10.3390/ijgi7100401."DOI
10 
"Won, T. and Eo, Y. D. (2022). “An experiment on image restoration applying the cycle generative adversarial network to partial occlusion Kompsat-3A image.” Korean Journal of Remote Sensing, KSRS, Vol. 38, No. 1, pp. 33-43, https://doi.org/10.7780/kjrs.2022.38.1.3."DOI
11 
"Zhu, J. Y., Park, T., Isola, P. and Efros, A. A. (2017). “Unpaired image- to-image translation using cycle-consistent adversarial networks.” arXiv: 1703.10593, https://doi.org/10.48550/arXiv.1703.10593."DOI