Tomography synthetic aperture radar imaging based on extended block orthogonal matching pursuit algorithm

Xiaozhen Ren; Tiejun Yang; Yao Qin; Lihong Qiao

doi:10.1117/1.JRS.13.014512

7 February 2019 Tomography synthetic aperture radar imaging based on extended block orthogonal matching pursuit algorithm

Xiaozhen Ren, Tiejun Yang, Yao Qin, Lihong Qiao

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 13, Issue 1, 014512 (February 2019). https://doi.org/10.1117/1.JRS.13.014512

Abstract

The compressed sensing (CS)-based methods for tomography synthetic aperture radar (SAR) imaging have a good performance in the case of a large number of baselines. Unfortunately, for the current tomography SAR, the baselines are obtained in repeat-pass mode from a large number of parallel passes in the same scene. That is expensive and can be severely affected by temporal decorrelation. And the performance of CS-based methods degrades rapidly with the decrease of the number of baselines. Inspired by the block-sparsity theory, an extended block orthogonal matching pursuit algorithm by using the weighted operation and a new column-block selection strategy is proposed for tomography SAR imaging. By using neighboring pixels information in reconstruction, the proposed method can improve the performance of CS-based methods in the case of strong noise and a small number of baselines. Experimental results confirm the effectiveness of the proposed method.

Citation Download Citation

Xiaozhen Ren, Tiejun Yang, Yao Qin, and Lihong Qiao "Tomography synthetic aperture radar imaging based on extended block orthogonal matching pursuit algorithm," Journal of Applied Remote Sensing 13(1), 014512 (7 February 2019). https://doi.org/10.1117/1.JRS.13.014512

Received: 15 May 2018; Accepted: 9 January 2019; Published: 7 February 2019

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KEYWORDS

Synthetic aperture radar

Tomography

Radar imaging

Signal to noise ratio

3D image processing

Buildings

Imaging systems

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