Residual Multi-resolution Network for Hyperspectral Image Denoising
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7189-0_1
Reference13 articles.
1. Chen, Y., Jiang, H., Li, C., Jia, X., Ghamisi, P.: Deep feature extraction and classification of hyperspectral images based on convolutional neural networks. IEEE Trans. Geosci. Remote Sens. 54(10), 6232–6251 (2016)
2. Marinelli, D., Bovolo, F., Bruzzone, L.: A novel change detection method for multitemporal hyperspectral images based on binary hyperspectral change vectors. IEEE Trans. Geosci. Remote Sens. 57(7), 4913–4928 (2019)
3. Buades, A., Coll, B., Morel, J.-M.: Nonlocal image and movie denoising. Int. J. Comput. Vis. 76(2), 123–139 (2008)
4. Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE Trans. Image Process. 16(8), 2080–2095 (2007)
5. Maggioni, M., Boracchi, G., Foi, A., Egiazarian, K.: Video denoising using separable 4D nonlocal spatiotemporal transforms. In: Proceedings of SPIE, Image Processing: Algorithms and Systems IX, vol. 7870, p. 787003 (2011)
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