STGAN: Sonar Image Despeckling Method Utilizing GAN and Transformer
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9109-9_6
Reference17 articles.
1. Huo, G., Yang, S.X., Li, Q., Zhou, Y.: A robust and fast method for side scan sonar image segmentation using nonlocal Despeckling and active contour model. IEEE Trans. Cybern. 47(4), 855–872 (2017). https://doi.org/10.1109/TCYB.2016.2530786
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4. Huang, T., Zhang, Y., Huang, Y., Wang, L., Huang, T.: Neighbor2neighbor: self-supervised denoising from single noisy images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 13730–13739 (2021)
5. Chierchia, G., Cozzolino, D., Poggi, G., Verdoliva, L.: SAR image despeckling through convolutional neural networks. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5438–5441. IEEE (2017)
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