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魏恋欢--A Novel Fast Approach for SAR Tomography: Two-Step Iterative Shrinkage/Thresholding

发布日期:2015-05-12 15:36:28 阅读次数:[3049]次 作者:

核心提示:来源出版物: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

作者: Wei, LH (Wei, Lianhuan); Balz, T (Balz, Timo); Zhang, L (Zhang, Lu); Liao, MS (Liao, Mingsheng)
 卷: 12  期: 6  页: 1377-1381  DOI: 10.1109/LGRS.2015.2402124  出版年: JUN 2015  
摘要: As an advanced technique, synthetic aperture radar (SAR) tomography makes it possible to overcome the layover problem induced by the intrinsic side-looking geometry of SAR sensors. However, traditional nonparametric spectral estimators, e.g., truncated singular value decomposition, are limited by their poor elevation resolution. On the other hand, the compressive-sensing-based approaches using the basis-pursuit strategy to find an L1-norm minimization solution for SAR tomography (TomoSAR) are extremely time consuming. Therefore, a fast and robust tomographic algorithm with super-resolution capability is needed. In this letter, we propose a new approach for TomoSAR based on two-step iterative shrinkage/thresholding (TWIST). TWIST uses a two-step strategy to speed up the L1-norm minimization procedure and can achieve an exceptionally fast convergence speed for TomoSAR. Experimental studies with simulated signals and a spotlight-mode TerraSAR-X data set were carried out to demonstrate the merits of the proposed TWIST approach in terms of robustness, fast convergence speed, and super-resolution capability.
地址: [Wei, Lianhuan] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.
通讯作者地址: Wei, LH (通讯作者),Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
电子邮件地址: lianhuan@whu.edu.cn; balz@whu.edu.cn; luzhang@whu.edu.cn; liao@whu.edu.cn

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