Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (1): 81-91.doi: 10.23919/JSEE.2021.000009
• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles Next Articles
Jing FANG1,2,*(), Shaohai HU1,*(
), Xiaole MA1(
)
Received:
2018-03-12
Online:
2021-02-25
Published:
2021-02-25
Contact:
Jing FANG,Shaohai HU
E-mail:fangjing@sdnu.edu.cn;shhu@bjtu.edu.cn;maxiaole@bjtu.edu.cn
About author:
Supported by:
Jing FANG, Shaohai HU, Xiaole MA. SAR image de-noising via grouping-based PCA and guided filter[J]. Journal of Systems Engineering and Electronics, 2021, 32(1): 81-91.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Table 1
PSNR results of the de-noised image by different methods dB "
Method | House | Cameraman | Intersection | |||||||||||
L=1 | L=2 | L=4 | L=16 | L=1 | L=2 | L=4 | L=16 | L=1 | L=2 | L=4 | L=16 | |||
Noisy | 11.28 | 13.15 | 16.34 | 22.56 | 12.23 | 15.12 | 18.45 | 24.32 | 11.12 | 16.81 | 22.76 | 24.96 | ||
Frost | 18.23 | 21.48 | 25.56 | 29.67 | 19.56 | 22.34 | 26.78 | 29.89 | 20.67 | 21.89 | 24.78 | 27.45 | ||
H-LSSC | 22.23 | 22.71 | 26.89 | 32.54 | 22.91 | 25.54 | 27.90 | 32.98 | 20.71 | 23.94 | 26.29 | 28.89 | ||
LPG-PCA | 26.85 | 25.03 | 28.56 | 34.16 | 28.08 | 30.45 | 30.01 | 33.91 | 21.45 | 24.83 | 26.12 | 29.03 | ||
FANS | 26.91 | 28.72 | 33.31 | 34.28 | 30.01 | 30.90 | 33.19 | 35.76 | 21.91 | 26.06 | 27.98 | 29.92 | ||
The proposed method | 28.14 | 29.12 | 33.45 | 34.25 | 29.70 | 31.24 | 34.59 | 34.78 | 25.28 | 26.98 | 27.90 | 29.99 |
1 |
MOREIRA A, PRATS-IRAOLA P, YOUNIS M, et al A tutorial on synthetic aperture radar. IEEE Geoscience Remote and Sensing Magazine, 2013, 1 (1): 6- 43.
doi: 10.1109/MGRS.2013.2248301 |
2 | GOODMAN J W Some fundamental properties of speckle. Journal of the Optical Society of America, 1976, 6 (11): 1145- l150. |
3 | FROST V S, STILES J A, SHANMUGAN K S, et al A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1982, 4 (2): 157- 166. |
4 | FROST V S, SHANMUGAN K S The information content of synthetic aperture radar images. IEEE Trans. on Aerospace and Electronic Systems, 1983, 19 (5): 768- 774. |
5 |
ARSENAULT H H, LEVESQUE M Combined homomorphic and local statistics processing for restoration of images degraded by signal dependent noise. Applied Optics, 1984, 23 (6): 845- 850.
doi: 10.1364/AO.23.000845 |
6 | YAN P F, CHEN C H. An algorithm for filtering multiplicative noise in wide range. Traitement du Signal, 1986, 3(2): 91–96. (in French) |
7 |
ARSENAULT H H, APRIL G Properties of speckle integrated with a finite aperture and logarithmically transformed. Journal of the Optical Society of America, 1976, 66 (11): 1160- 1163.
doi: 10.1364/JOSA.66.001160 |
8 | LEE J S Digital image enhancement and noise filtering by use of local statistics. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1980, 2 (2): 165- 168. |
9 |
LEE J S Refined filtering of image noise using local statistics. Computer Graphics and Image Processing, 1981, 15 (4): 380- 389.
doi: 10.1016/S0146-664X(81)80018-4 |
10 | KUAN D T, SAWCHUK A A, STRAND T C, et al Adaptive noise smoothing filter for images with signal-dependent noise. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1985, 7 (2): 165- 177. |
11 |
LOPES A, TOUZI R, NEZRY E Adaptive speckle filters and scene heterogeneity. IEEE Trans. on Geoscience and Remote Sensing, 1990, 28 (6): 992- 1000.
doi: 10.1109/36.62623 |
12 | GUO H, ODEGARD J, LANG M, et al Wavelet based speckle reduction with application to SAR based ATD/R. Proc. of the IEEE International Conference on Image Processing, 1994, 75- 79. |
13 |
ACHIM A, TSAKALIDES P, BEZARIANOS A SAR image de-noising via Bayesian wavelet shrinkage based on heavy-tailed modeling. IEEE Trans. on Geoscience and Remote Sensing, 2003, 41 (8): 1773- 1784.
doi: 10.1109/TGRS.2003.813488 |
14 |
BHUIYAN M, AHMAD M, SWAMY M Spatially adaptive wavelet based method using the Cauchy prior for de-noising the SAR images. IEEE Trans. on Circuits and Systems for Video Technology, 2007, 17 (4): 500- 507.
doi: 10.1109/TCSVT.2006.888020 |
15 | XIE H, PIERCE L, ULABY F. Despeckling SAR images using a low complexity wavelet de-noising process. Proc. of the IEEE International Geoscience and Remote Sensing Symposium, 2002: 321–324. |
16 |
ARGENTI F, ALPARONE A Speckle removal from SAR images in the undecimated wavelet domain. IEEE Trans. on Geoscience and Remote Sensing, 2002, 40 (11): 2363- 2374.
doi: 10.1109/TGRS.2002.805083 |
17 | COUPE P, HELLIER P, KERVRANN C, et al. Bayesian non local means-based speckle filtering. Proc. of the IEEE International Symposium on Biomedical Imaging: from Nano to Macro, 2008: 1291–1294. |
18 |
DELEDALLE C, DENIS L, TUPIN F Iterative weighted maximum likelihood de-noising with probabilistic patch-based weights. IEEE Trans. on Image Processing, 2009, 18 (12): 2661- 2672.
doi: 10.1109/TIP.2009.2029593 |
19 | PARRILLI S, PODERICO M, ANGELINO C, et al A nonlocal approach for SAR image de-noising. Proc. of the Geoscience and Remote Sensing Symposium, 2010, 45 (1): 726- 729. |
20 | ZHONG H, XU J, JIAO L C. Classification based nonlocal means despeckling for SAR image. Proceedings of SPIE—The International Society for Optical Engineering, 2009. DOI: 10.1117/12.832169. |
21 |
PARRILLI S, PODERICO M, ANGELINO C V, et al A nonlocal SAR image de-noising algorithm based on LLMMSE wavelet shrinkage. IEEE Trans. on Geoscience and Remote Sensing, 2012, 50 (2): 606- 616.
doi: 10.1109/TGRS.2011.2161586 |
22 | TORRES L, FRERY A C. SAR image despeckling algorithms using stochastic distances and nonlocal means, 2013, http://arxiv.org/abs/1308.4388?context=stat^ML. |
23 |
COZZOLINO D, PARRILLI S, SCARPA G, et al Fast adaptive nonlocal SAR despeckling. IEEE Geoscience and Remote Sensing Letters, 2014, 11 (2): 524- 528.
doi: 10.1109/LGRS.2013.2271650 |
24 | CHIERCHIA G, El GHECHE M, SCARPA G, et al Multitemporal SAR image despeckling based on block-matching and collaborative filtering. IEEE Trans. on Geoscience and Remote Sensing, 2017, 55 (10): 1- 14. |
25 |
WANG P Y, ZHANG H, PATEL V M SAR image despeckling using a convolutional neural network. IEEE Signal Processing Letters, 2017, 24 (12): 1763- 1767.
doi: 10.1109/LSP.2017.2758203 |
26 | FERRAIOLI G, PASCAZIO V, VITALE S. A novel cost function for despeckling using convolutional neural networks. Joint Urban Remote Sensing Event, 2019. DOI: 10.1109/JURSE.2019.8809042. |
27 | FUKUNAGA K. Introduction to statistical pattern recognition. 2nd ed. New York: Academic Press, 1991. |
28 |
FANG J, LIU S Q, XIAO Y, et al SAR image de-noising based on texture strength and weighted nuclear norm minimization. Journal of Systems Engineering and Electronics, 2016, 27 (4): 807- 814.
doi: 10.21629/JSEE.2016.04.09 |
29 | MURESAN D D, PARKS T W. Adaptive principal components and image de-noising. Proc. of the IEEE International Conference on Image Processing, 2003: 101–104. |
30 |
ZHANG L, DONG W S, ZHANG D, et al Two-stage image de-noising by principal component analysis with local pixel grouping. Pattern Recognition, 2010, 43 (4): 1531- 1549.
doi: 10.1016/j.patcog.2009.09.023 |
31 |
HE K M, SUN J, TANG X O Guided image filter. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2013, 35 (6): 1397- 1409.
doi: 10.1109/TPAMI.2012.213 |
32 | HE K M, SUN J. Fast guided filter. Computer Science, 2015, htttp://arxiv.org/abs/1505.00996. |
33 |
WANG Z, BOVIK A C, SHEIKH H R, et al Image quality assessment: from error visibility to structural similarity. IEEE Trans. on Image Processing, 2004, 13 (4): 600- 612.
doi: 10.1109/TIP.2003.819861 |
[1] | Kai ZHOU, Daojing LI, Anjing CUI, Dong HAN, He TIAN, Haifeng YU, Jianbo DU, Lei LIU, Yu ZHU, Running ZHANG. Sparse flight spotlight mode 3-D imaging of spaceborne SAR based on sparse spectrum and principal component analysis [J]. Journal of Systems Engineering and Electronics, 2021, 32(5): 1143-1151. |
[2] | Jian WANG, Ke YANG, Ping REN, Chunxia QIN, Xiufei ZHANG. Multi-source image fusion algorithm based on fast weighted guided filter [J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 831-840. |
[3] | Jianfei Ding, Guangya Si, Baoqiang Li, Jingyu Yang, and Yu Zhang. Construction of composite indicator system based on simulation data mining [J]. Systems Engineering and Electronics, 2017, 28(1): 81-. |
[4] | Jing Fang, Shuaiqi Liu, Yang Xiao, and Hailiang Li. SAR image de-noising based on texture strength and weighted nuclear norm minimization [J]. Systems Engineering and Electronics, 2016, 27(4): 807-. |
[5] | Zhizhong Fu, Yanjing Yang, Chang Shu, Yuan Li, Honggang Wu, and Jin Xu. Improved single image dehazing using dark channel prior [J]. Journal of Systems Engineering and Electronics, 2015, 26(5): 1070-1079. |
[6] | Ke Zhang, Yintao Zhang, and Pinpin Qu. Comprehensive multivariate grey incidence degree based on principal component analysis [J]. Journal of Systems Engineering and Electronics, 2014, 25(5): 840-847. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||