SAR Image Despeckling Using a Self-supervised Learning Model
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43218-7_57
Reference8 articles.
1. Batson, J., & Royer, L. (2019). Noise2self: Blind denoising by self-supervision. ICML 2019.
2. Dabov, K., Foi, A., Katkovnik, V., & Egiazarian, K. (2007). Image denoising by sparse 3-d transform-domain collaborative filtering. IEEE Transactions Image Processing, 16(8), 2080–2095.
3. Deledalle, C., Denis, L., & Tupin, F. (2009). Iterative weighted maximum likelihood denoising with probabilistic patch-based weights. IEEE Transactions on Image Processing, 18(12), 2661–2672.
4. Gagnon, L., & Jouan, A. (1997). Speckle filtering of SAR images: A comparative study between complex-wavelet-based and standard filters. In Wavelet Applications in Signal and Image Processing V.
5. Krull, A., Buchholz, T.-O., & Jug, F. (2019). Noise2Void—Learning denoising from single noisy images.
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