Double iterative optimal dictionary learning-based SAR image filtering method

2017 ◽  
Vol 12 (4) ◽  
pp. 783-790
Author(s):  
Yunjun Zhan ◽  
Tengda Dai ◽  
Jiejun Huang ◽  
Yusen Dong ◽  
Fawang Ye ◽  
...  
Keyword(s):  
Dictionary Learning ◽  
Image Filtering ◽  
Sar Image ◽  
Filtering Method

An Iterative SAR Image Filtering Method Using Nonlocal Sparse Model

2015 ◽  
Vol 12 (8) ◽  
pp. 1635-1639 ◽  
Author(s):  
Bin Xu ◽  
Yi Cui ◽  
Zenghui Li ◽  
Jian Yang
Keyword(s):  
Image Filtering ◽  
Sar Image ◽  
Filtering Method ◽  
Sparse Model

scholarly journals SAR image filtering based on the heavy-tailed Rayleigh model

2006 ◽  
Vol 15 (9) ◽  
pp. 2686-2693 ◽  
Author(s):  
A. Achim ◽  
E.E. Kuruoglu ◽  
J. Zerubia
Keyword(s):  
Image Filtering ◽  
Sar Image ◽  
Heavy Tailed

scholarly journals Product Dictionary Learning-Based SAR Target Configuration Recognition

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Ming Liu ◽  
Shichao Chen ◽  
Fugang Lu ◽  
Junsheng Liu
Keyword(s):  
Synthetic Aperture Radar ◽  
Sparse Representation ◽  
Dictionary Learning ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Product Model ◽  
Sar Images ◽  
Stationary Target ◽  
Target Configuration ◽  
Key Factor

Dictionary construction is a key factor for the sparse representation- (SR-) based algorithms. It has been verified that the learned dictionaries are more effective than the predefined ones. In this paper, we propose a product dictionary learning (PDL) algorithm to achieve synthetic aperture radar (SAR) target configuration recognition. The proposed algorithm obtains the dictionaries from a statistical standpoint to enhance the robustness of the proposed algorithm to noise. And, taking the inevitable multiplicative speckle in SAR images into account, the proposed algorithm employs the product model to describe SAR images. A more accurate description of the SAR image results in higher recognition rates. The accuracy and robustness of the proposed algorithm are validated by the moving and stationary target acquisition and recognition (MSTAR) database.

Sign in / Sign up

Export Citation Format

Share Document