• Laser & Optoelectronics Progress
  • Vol. 55, Issue 4, 041004 (2018)
Yunjun Zhan1、*, Tengda Dai1, Jiejun Huang1, Yusen Dong1, Fawang Ye1, Cong Tang1, and Meng Wang1
Author Affiliations
  • 1 National Key Laboratory of Remote Sensing Information and Image Analysis Technology, CNNC Beijing Research Institute of Uranium Geology, Beijing 100029, China
  • 1 School of Earth Sciences, China University of Geosciences, Wuhan, Hubei 430074, China
  • 1 School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
  • show less
    DOI: 10.3788/LOP55.041004 Cite this Article Set citation alerts
    Yunjun Zhan, Tengda Dai, Jiejun Huang, Yusen Dong, Fawang Ye, Cong Tang, Meng Wang. Synthetic Aperture Radar Image Filtering Based on Clustering Three-Dimensional Block-Matching[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041004 Copy Citation Text show less
    Flowchart of clustering-based BM3D algorithm
    Fig. 1. Flowchart of clustering-based BM3D algorithm
    (a) Original image; (b) noisy image; filtering results of (c) BM3D algorithm and (d) clustering-based BM3D algorithm
    Fig. 2. (a) Original image; (b) noisy image; filtering results of (c) BM3D algorithm and (d) clustering-based BM3D algorithm
    (a) Original image; filtering results of (b) NLMeans algorithm, (c) BM3D algorithm, and (d) clustering-based BM3D algorithm
    Fig. 3. (a) Original image; filtering results of (b) NLMeans algorithm, (c) BM3D algorithm, and (d) clustering-based BM3D algorithm
    (a1)-(a3) Enlargement of marked regions in Fig. 3(a); (b1)-(b3) enlargement of marked regions in Fig. 3(b); (c1)-(c3) enlargement of marked regions in Fig. 3(c)
    Fig. 4. (a1)-(a3) Enlargement of marked regions in Fig. 3(a); (b1)-(b3) enlargement of marked regions in Fig. 3(b); (c1)-(c3) enlargement of marked regions in Fig. 3(c)
    Filtering images for different scenes. (a) PSNR=26.3272 dB; (b) PSNR =25.7652 dB; (c) PSNR =25.5423 dB; (d) PSNR =23.8654 dB
    Fig. 5. Filtering images for different scenes. (a) PSNR=26.3272 dB; (b) PSNR =25.7652 dB; (c) PSNR =25.5423 dB; (d) PSNR =23.8654 dB
    RegionMeanPSNR /dB
    NLMeansBM3DClustering-based BM3D algorithm
    11.235322.342122.754225.3148
    20.853223.953223.896424.3506
    30.982424.893524.412125.6732
    41.106222.864323.408125.7721
    51.427320.549619.873021.0148
    Table 1. Running time of each algorithm and PSNR values for specific regions
    Yunjun Zhan, Tengda Dai, Jiejun Huang, Yusen Dong, Fawang Ye, Cong Tang, Meng Wang. Synthetic Aperture Radar Image Filtering Based on Clustering Three-Dimensional Block-Matching[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041004
    Download Citation