Author:
Zhan Yunjun,Dai Tengda,Huang Jiejun,Dong Yusen,Ye Fawang,Tang Cong
Funder
Changjiang River Scientific Research Institute
Beijing Research Institute of Uranium Geology
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference24 articles.
1. Arsenault, H.H.: Speckle suppression and analysis for synthetic aperture radar images. Opt. Eng. 25(5), 636–643 (1986)
2. Lopes, A., Touzi, R., Nezry, E.: Adaptive speckle filters and scene heterogeneity. IEEE Trans. Geosci. Remote Sens. 28(6), 992–1000 (1990)
3. Kumar, B.K.S.: Image denoising based on non-local means filter and its method noise thresholding. Signal Image Video Process. 7(6), 1211–1227 (2013)
4. Sumaiya, M.N., Kumari, R.S.S.: SAR image despeckling using heavy-tailed Burr distribution. Signal Image Video Process. 11(1), 49–55 (2016)
5. Cui, H., Yan, G., Song, H.: A novel curvelet thresholding denoising method based on chi-squared distribution. Signal Image Video Process. 9(2), 491–498 (2015)
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