JI Jian and LI Yang, “An Improved SAR Image Denoising Method Based on Bootstrap Statistical Estimation with ICA Basis,” Chinese Journal of Electronics, vol. 25, no. 4, pp. 786-792, 2016, doi: 10.1049/cje.2016.06.040
Citation: JI Jian and LI Yang, “An Improved SAR Image Denoising Method Based on Bootstrap Statistical Estimation with ICA Basis,” Chinese Journal of Electronics, vol. 25, no. 4, pp. 786-792, 2016, doi: 10.1049/cje.2016.06.040

An Improved SAR Image Denoising Method Based on Bootstrap Statistical Estimation with ICA Basis

doi: 10.1049/cje.2016.06.040
Funds:  This work was supported by the National Natural Science Foundation of China (No.61101248) and the Fundamental Research Funds for the Central Universities of China (No.JB160302, No.JB150317).
  • Received Date: 2014-06-26
  • Rev Recd Date: 2014-06-26
  • Publish Date: 2016-07-10
  • A new method for Synthetic aperture radar (SAR) image denoising is proposed. The prior information of speckle statistical model can be exploited to judge its distribution. The basis of SAR image can be estimated by Independent component analysis (ICA), and these bases can be divided into two different subspaces (noise and real signal subspaces) through a linear classifier. Then parametric Bootstrap estimates the parameters of speckle statistical model on the noise signal subspace, and the nonparametric Bootstrap can estimate the distribution of real image on the real signal subspace. According to different results estimated by Bootstrap, corresponding Maximum a posterior probability (MAP) filter will be selected for image denoising, using the noise model's parameter for adaptive filtering. Experiments show that the image processed by this new method can achieve a better visual perception and objective evaluation results.
  • loading
  • G.T. Li, C.L. Wang and P.P. Huang, "SAR image despeckling using a space-domain filter with alterable window", IEEE Geoscience and Remote Sensing Letter, Vol.10, No.2, pp.263-267, 2013.
    J. Ji, Z. Tian and H.X. Xu, "A new method for compression of SAR imagry based on multiscale autoregressive moving average(MARMA) model", Acta Electronica Sinica, Vol.33, No.12, pp.2111-2114, 2005. (in Chinese)
    V. Bhateja, A. Tripathi and A. Gupta, "An improved local statistics filter for denoising of SAR images", Recent Advances in Intelligent Informatics, Springer International Publishing, pp.23-29, 2014.
    R. Sethunadh and T. Thomas, "Spatially adaptive despeckling of SAR image using bivariate thresholding in directionlet domain", Electronics Letters, Vol.50, No.1, pp.44-45, 2014.
    D.T. Kuan, A.A. Sawchuk, T.C. Strand and P. Chavel, "Adaptive noise smoothing filter for images with signal-dependent noise", IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.PAMI-7, No.2, pp.165-177, 1985.
    A. Lopes, E. Nezry and R. Touzi, "Structure detection and statistical adaptive speckle filtering in SAR images", International Journal of Remote Sensing, Vol.14, No.9, pp.1735-1758, 1993.
    S. Foucher, G.B. Benie and J.M. Boucher, "Multiscale MAP filtering of SAR images", IEEE Transaction on Image Processing, Vol.10, pp.49-60, 2001.
    W. Hu, O.C. Au and L. Sun, "Adaptive depth map filter for blocking artifacts removal and edge preserving", 2012 IEEE International Symposium on Circuits and Systems (ISCAS), pp.369-372, 2012.
    P. Anjali, S. Ajay and S.D. Sapre, "A review on natural image denoising using independent component analysis (ICA) technique", Advances in Computational Research, Vol.2, No.1, pp.06-14, 2010.
    H.J. Wang, Y.M. Pi and H.Y. Chen, "Classification of full-polarization SAR image combined with ICA-based speckle reduction", Acta Electronica Sinica, Vol.34, No.12, pp.2185-2189, 2006. (in Chinese)
    M.T. Akhtar, W. Mitsuhashi and C.J. James, "Employing spatially constrained ICA and wavelet denoising, for automatic removal of artifacts from multichannel EEG data", Signal Processing, Vol.92, No.2, pp.401-416, 2012.
    X. Zeng, Y.W. Chen and C. Tao, "Denoising by anisotropic diffusion in ICA subspace", Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP'09, IEEE, pp.1201-1204, 2009.
    T. Anahara, M. Schmitt and J. Susaki, "Non-linear correction of polarization orientation for the application of ICA to PolSAR imagery", IEEE Geoscience and Remote Sensing Symposium, pp.3142-3145, 2012.
    X. Su, H. Sang and G. Yang, "A novel ICA-based method for image enhancement of polarimetric SAR", IEEE 4th International Symposium on Microwave, Antenna, Propagation, and EMC Technologies for Wireless Communications (MAPE), pp.509-512, 2011.
    A.M. Zoubir and B. Boashash, "The bootstrap and its application in signal processing", Signal Processing Magazine, IEEE, Vol.15, No.1, pp.56-76, 1998.
    M.R. Chernick, Bootstrap Methods:A Guide for Practitioners and Researchers, John Wiley and Sons, 2007.
    V.S. Frost, J.A. Stiles and K.S. Shanmugan, "A model for radar images and its application to adaptive digital filtering of multiplicative noise", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.PAMI-4, No.2, pp.157-166, 1982.
    S. Chitroub, A. Houacine and B. Sansal, "Statistical characterisation and modelling of SAR images", Signal Processing, Vol.82, No.1, pp.69-92, 2002.
    A. Hyvärinen, J. Karhunen and E. Oja, Independent Component Analysis, John Wiley & Sons, 2004.
    A. Hyvarinen, "Fast and robust fixed-point algorithms for independent component analysis", IEEE Transactions on Neural Networks, Vol.10, No.3, pp.626-634, 1999.
    Z. Koldovsk, P. Tichavsk and E. Oja, "Efficient variant of algorithm FastICA for independent component analysis attaining the Cramer-Rao lower bound", IEEE Transactions on Neural Networks, Vol.17, No.5, pp.1265-1277, 2006.
    Y. Li, Y. Zhou and J. Yang, "SAR image de-noising using ICA basis enhancement and separation", International Conference on Mechatronics and Automation, ICMA 2007, IEEE, pp.3859-3863, 2007.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (473) PDF downloads(565) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return