References
[1]. Vitale, S., Ferraioli, G., & Pascazio, V. (2019, July). A New Ratio Image Based CNN Algorithm for SAR Despeckling. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 9494-9497). IEEE.
[2]. Singh, P., & Shankar, A. (2021). A novel optical image denoising technique using convolutional neural network and anisotropic diffusion for real-time surveillance applications. Journal of Real-Time Image Processing, 18(5), 1711-1728. doi:10.1007/s11554-020-01060-0
[3]. Singh, P., Diwakar, M., Shankar, A., Shree, R., & Kumar, M. (2021). A review on SAR image and its despeckling. Archives of Computational Methods in Engineering, 28(7), 4633-4653. doi:10.1007/s11831-021-09548-z
[4]. Zhang, Qiang, Qiangqiang Yuan, Jie Li, Zhen Yang, and Xiaoshuang Ma. "Learning a dilated residual network for SAR image despeckling." Remote Sensing 10, no. 2 (2018): 196.
[5]. Chierchia, G., El Gheche, M., Scarpa, G., & Verdoliva, L. (2017). Multitemporal SAR im- age despeckling based on block-matching and collaborative filtering. IEEE Transactions on Geoscience and Remote Sensing, 55(10), 5467-5480.
[6]. Mastriani, M., & Giraldez, A. E. (2016). Neural shrinkage for wavelet-based SAR despeckling. arXiv preprint arXiv:1608.00279.
[7]. Cozzolino, D., Verdoliva, L., Scarpa, G., & Poggi, G. (2020). Nonlocal CNN SAR Image Despeckling. Remote Sensing, 12(6), 1006.
[8]. Cozzolino, D., Verdoliva, L., Scarpa, G., & Poggi, G. (2019, July). Nonlocal SAR image despeckling by convolutional neural networks. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 5117-5120). IEEE.
[9]. Zhao, W., Deledalle, C. A., Denis, L., Maître, H., Nicolas, J. M., & Tupin, F. (2018, July). RABASAR: A fast ratio based multi-temporal SAR despeckling. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 4197-4200). IEEE.
[10]. Liu, S., Wu, G., Zhang, X., Zhang, K., Wang, P., & Li, Y. (2017). SAR despeckling via classification-based nonlocal and local sparse representation. Neurocomputing, 219, 174- 185.
[11]. Ma, X., Shen, H., Zhao, X., & Zhang, L. (2016). SAR image despeckling by the use of variational methods with adaptive nonlocal functionals. IEEE Transactions on Geoscience and remote sensing, 54(6), 3421-3435.
[12]. Chierchia, G., Cozzolino, D., Poggi, G., & Verdoliva, L. (2017, July). SAR image despeckling through convolutional neural networks. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 5438-5441). IEEE.
[13]. Tang, X., Zhang, L., & Ding, X. (2019). SAR image despeckling with a multilayer perceptron neural network. International Journal of Digital Earth, 12(3), 354-374.
[14]. Dutt, Vinayak, and James F. Greenleaf. "Adaptive speckle reduction filter for log-compressed B-scan images." IEEE Transactions on Medical Imaging 15.6 (1996): 802-813.
[15]. Tyagi, T., Gupta, P., & Singh, P. (2020). A hybrid multi-focus image fusion technique using SWT and PCA. Paper presented at the Proceedings of the Confluence 2020 - 10th International Conference on Cloud Computing, Data Science and Engineering, 491-497. doi:10.1109/Confluence47617.2020.9057960
[16]. Singh, P., & Shree, R. (2016). Speckle noise: Modelling and implementation. International Journal of Control Theory and Applications, 9(17), 8717-8727
[17]. Wadhwa, P., Aishwarya, Tripathi, A., Singh, P., Diwakar, M., & Kumar, N. (2020). Predicting the time period of extension of lockdown due to increase in rate of COVID-19 cases in india using machine learning. Materials Today: Proceedings, 37(Part 2), 2617-2622. doi:10.1016/j.matpr.2020.08.509
[18]. Lattari, F., Gonzalez Leon, B., Asaro, F., Rucci, A., Prati, C., & Matteucci, M. (2019). Deep learning for SAR image despeckling. Remote Sensing, 11(13), 1532.
[19]. Vitale, S., Cozzolino, D., Scarpa, G., Verdoliva, L., & Poggi, G. (2019). Guided patchwise nonlocal SAR despeckling. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 6484-6498
Cite this article
Singh,P.;Maurya,A.;Arora,S.;Shankar,A.;E.,S.V.;Diwakar,M. (2023). A conventional and non-conventional analysis of SAR image despeckling technique. Applied and Computational Engineering,20,131-137.
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References
[1]. Vitale, S., Ferraioli, G., & Pascazio, V. (2019, July). A New Ratio Image Based CNN Algorithm for SAR Despeckling. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 9494-9497). IEEE.
[2]. Singh, P., & Shankar, A. (2021). A novel optical image denoising technique using convolutional neural network and anisotropic diffusion for real-time surveillance applications. Journal of Real-Time Image Processing, 18(5), 1711-1728. doi:10.1007/s11554-020-01060-0
[3]. Singh, P., Diwakar, M., Shankar, A., Shree, R., & Kumar, M. (2021). A review on SAR image and its despeckling. Archives of Computational Methods in Engineering, 28(7), 4633-4653. doi:10.1007/s11831-021-09548-z
[4]. Zhang, Qiang, Qiangqiang Yuan, Jie Li, Zhen Yang, and Xiaoshuang Ma. "Learning a dilated residual network for SAR image despeckling." Remote Sensing 10, no. 2 (2018): 196.
[5]. Chierchia, G., El Gheche, M., Scarpa, G., & Verdoliva, L. (2017). Multitemporal SAR im- age despeckling based on block-matching and collaborative filtering. IEEE Transactions on Geoscience and Remote Sensing, 55(10), 5467-5480.
[6]. Mastriani, M., & Giraldez, A. E. (2016). Neural shrinkage for wavelet-based SAR despeckling. arXiv preprint arXiv:1608.00279.
[7]. Cozzolino, D., Verdoliva, L., Scarpa, G., & Poggi, G. (2020). Nonlocal CNN SAR Image Despeckling. Remote Sensing, 12(6), 1006.
[8]. Cozzolino, D., Verdoliva, L., Scarpa, G., & Poggi, G. (2019, July). Nonlocal SAR image despeckling by convolutional neural networks. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 5117-5120). IEEE.
[9]. Zhao, W., Deledalle, C. A., Denis, L., Maître, H., Nicolas, J. M., & Tupin, F. (2018, July). RABASAR: A fast ratio based multi-temporal SAR despeckling. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 4197-4200). IEEE.
[10]. Liu, S., Wu, G., Zhang, X., Zhang, K., Wang, P., & Li, Y. (2017). SAR despeckling via classification-based nonlocal and local sparse representation. Neurocomputing, 219, 174- 185.
[11]. Ma, X., Shen, H., Zhao, X., & Zhang, L. (2016). SAR image despeckling by the use of variational methods with adaptive nonlocal functionals. IEEE Transactions on Geoscience and remote sensing, 54(6), 3421-3435.
[12]. Chierchia, G., Cozzolino, D., Poggi, G., & Verdoliva, L. (2017, July). SAR image despeckling through convolutional neural networks. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 5438-5441). IEEE.
[13]. Tang, X., Zhang, L., & Ding, X. (2019). SAR image despeckling with a multilayer perceptron neural network. International Journal of Digital Earth, 12(3), 354-374.
[14]. Dutt, Vinayak, and James F. Greenleaf. "Adaptive speckle reduction filter for log-compressed B-scan images." IEEE Transactions on Medical Imaging 15.6 (1996): 802-813.
[15]. Tyagi, T., Gupta, P., & Singh, P. (2020). A hybrid multi-focus image fusion technique using SWT and PCA. Paper presented at the Proceedings of the Confluence 2020 - 10th International Conference on Cloud Computing, Data Science and Engineering, 491-497. doi:10.1109/Confluence47617.2020.9057960
[16]. Singh, P., & Shree, R. (2016). Speckle noise: Modelling and implementation. International Journal of Control Theory and Applications, 9(17), 8717-8727
[17]. Wadhwa, P., Aishwarya, Tripathi, A., Singh, P., Diwakar, M., & Kumar, N. (2020). Predicting the time period of extension of lockdown due to increase in rate of COVID-19 cases in india using machine learning. Materials Today: Proceedings, 37(Part 2), 2617-2622. doi:10.1016/j.matpr.2020.08.509
[18]. Lattari, F., Gonzalez Leon, B., Asaro, F., Rucci, A., Prati, C., & Matteucci, M. (2019). Deep learning for SAR image despeckling. Remote Sensing, 11(13), 1532.
[19]. Vitale, S., Cozzolino, D., Scarpa, G., Verdoliva, L., & Poggi, G. (2019). Guided patchwise nonlocal SAR despeckling. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 6484-6498