Synthetic Aperture Radar Image Filtering Based on Clustering Three-Dimensional Block-Matching

Yunjun Zhan; Tengda Dai; Jiejun Huang; Yusen Dong; Fawang Ye; Cong Tang; Meng Wang

doi:10.3788/LOP55.041004

Laser & Optoelectronics Progress, Volume. 55, Issue 4, 041004(2018)

Synthetic Aperture Radar Image Filtering Based on Clustering Three-Dimensional Block-Matching

Yunjun Zhan^1、*, Tengda Dai¹, Jiejun Huang¹, Yusen Dong¹, Fawang Ye¹, Cong Tang¹, and Meng Wang¹

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

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Figures & Tables(6)

Fig. 1. Flowchart of clustering-based BM3D algorithm

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Fig. 2. (a) Original image; (b) noisy image; filtering results of (c) BM3D algorithm and (d) clustering-based BM3D algorithm

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Fig. 3. (a) Original image; filtering results of (b) NLMeans algorithm, (c) BM3D algorithm, and (d) clustering-based BM3D algorithm

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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)

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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

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Table 1. Running time of each algorithm and PSNR values for specific regions
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Table 1. Running time of each algorithm and PSNR values for specific regions
Region Mean PSNR /dB
NLMeans BM3D Clustering-based BM3D algorithm
1 1.2353 22.3421 22.7542 25.3148
2 0.8532 23.9532 23.8964 24.3506
3 0.9824 24.8935 24.4121 25.6732
4 1.1062 22.8643 23.4081 25.7721
5 1.4273 20.5496 19.8730 21.0148

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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

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