ZHANG Wenge, ZHANG Qin, ZHAO Chaoying, et al., “Noise Reduction for InSAR Phase Images Using BM3D,” Chinese Journal of Electronics, vol. 23, no. 2, pp. 329-333, 2014,
Citation: ZHANG Wenge, ZHANG Qin, ZHAO Chaoying, et al., “Noise Reduction for InSAR Phase Images Using BM3D,” Chinese Journal of Electronics, vol. 23, no. 2, pp. 329-333, 2014,

Noise Reduction for InSAR Phase Images Using BM3D

Funds:  This work is supported in part by the National Natural Science Foundation of China (No.41274005 No.41274004, No.41072266 and No.41372375), the key project of the Ministry of Land & Resources of China (No.1212011220186 and No.1212011220142), the special earthquake research project of China Earthquake Administration (No.201208009), the China Postdoctoral Science Foundation funded Project (No.20110491634), the Special Fund for Basic Scientific Research of Central Colleges, Chang'an University (No.CHD2010ZD006), key project of Scientific and Technological Innovation, Chang'an University, opening fund of Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, China and Geological Engineering, Ministry of Education.
  • Received Date: 2012-11-01
  • Rev Recd Date: 2013-03-01
  • Publish Date: 2014-04-05
  • This paper extends the application of Block-matching (BM) and 3D transform-domain collaborative filtering (BM3D) to the noise reduction in Interferometric synthetic aperture radar (InSAR) phase imagery, and proposes a denoising algorithm which can effectively remove noise and preserve fringes. Since the noise level estimated by a median estimator is not always optimal for proposed algorithm in wavelet domain, a method of calculating optimal noise standard deviation is also developed. The proposed algorithm is efficient and robust. Experimental results show that the visual quality and evaluation indexes of proposed algorithm outperform other filters for both simulated and real InSAR images.
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