全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

A Downsampled SAR-BM3D Despeckling Approach for Single-Look SAR Images in High Resolution

DOI: 10.4236/jcc.2016.415012, PP. 126-131

Keywords: Despeckling, SAR-BM3D, Downsampling, High Resolution, Synthetic Aperture Radar (SAR)

Full-Text   Cite this paper   Add to My Lib

Abstract:

SAR-BM3D is one of the state of the art despeckling algorithms for SAR images. However, when tackling with high resolution SAR images, it often has an unsatisfying despeckling performance in the homogeneous smooth regions, together with a high time complexity. In this paper, a novel downsampled SAR-BM3D despeckling approach combined with edge compensation is proposed. The proposed algorithm consists of two steps. First, despeckle the image which is a downsampled version of original image with SAR-BM3D. Then, compensate edges in each level when upsampling. This approach not only utilizes the good ability of feature preservation, but also improves performance of smoothing homogenous regions. When it comes to high resolution SAR images, the efficiency can be raised by six to seven times, compared to original SAR-BM3D. Experiments on simulated and real SAR images show that the proposed method reaches a high level in terms of visual quality and act more efficiently.

References

[1]  Argenti, F., Lapini, A., Bianchi, T., et al. (2013) A Tutorial on Speckle Reduction in Synthetic Aperture Radar Images. IEEE Geoscience and Remote Sensing Magazine, 1, 6-35. http://dx.doi.org/10.1109/MGRS.2013.2277512
[2]  Buades, A., Coll, B. and Morel, J.M. (2005) A Non-Local Algorithm for Image De-noising. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), 2, 60-65.
[3]  Deledalle, C.A., Denis, L. and Tupin, F. (2009) Iterative Weighted Maximum Likelihood Denoising with Probabilistic Patch-Based Weights. IEEE Transactions on Image Processing, 18, 2661-2672. http://dx.doi.org/10.1109/TIP.2009.2029593
[4]  Louchet, C. and Moisan, L. (2011) Total Variation as a Local Filter. SIAM Journal on Imaging Sciences, 4, 651-694. http://dx.doi.org/10.1137/100785855
[5]  Yang, X. and Clausi, D.A. (2009) Structure-Preserving Speckle Reduction of SAR Images Using Nonlocal Means Filters. 16th IEEE International Conference on Image Processing (ICIP), 2985-2988.
[6]  Zhong, H., Zhang, J. and Liu, G. (2014) Robust Polarimetric SAR Despeckling Based on Nonlocal Means and Distributed Lee Filter. IEEE Transactions on Geoscience and Remote Sensing, 52, 4198-4210. http://dx.doi.org/10.1109/TGRS.2013.2280278
[7]  Dabov, K., Foi, A., Katkovnik, V., et al. (2007) Image Denoising by Sparse 3-D Trans-form- Domain Collaborative Filtering. IEEE Transactions on Image Processing, 16, 2080-2095. http://dx.doi.org/10.1109/TIP.2007.901238
[8]  Parrilli, S., Poderico, M., Angelino, C.V., et al. (2012) A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage. IEEE Transactions on Geoscience and Remote Sensing, 50, 606-616. http://dx.doi.org/10.1109/TGRS.2011.2161586
[9]  Cozzolino, D., Parrilli, S., Scarpa, G., et al. (2014) Fast Adaptive Nonlocal SAR Des-peckling. IEEE Geoscience and Remote Sensing Letters, 11, 524-528. http://dx.doi.org/10.1109/LGRS.2013.2271650
[10]  Liu, S.J., Wu, G.Q., Zhang, X.Z., et al. (2016) SAR Image Despeckling via the Classi-fication-Based Non-Local Clustering. Systems Engineering and Electronics, 38, 511-556
[11]  Gragnaniello, D., Poggi, G., Scarpa, G., et al. (2015) SAR Despeckling Based on Soft Classification. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2378- 2381.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133