Image quality assessment based on modulation transfer function for synthetic aperture radar systems

Xin Lin; Kaizhi Wang; Junfeng Wang; Xingzhao Liu

doi:10.1117/1.JRS.10.026023

25 May 2016 Image quality assessment based on modulation transfer function for synthetic aperture radar systems

Xin Lin, Kaizhi Wang, Junfeng Wang, Xingzhao Liu

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 2, 026023 (May 2016). https://doi.org/10.1117/1.JRS.10.026023

Abstract

The performance of synthetic aperture radar (SAR) image interpretation directly depends on the image quality. However, conventional SAR image-quality indicators are measured to check whether the SAR system has maintained its performance specifications, not to assess how well the SAR image can serve image interpretation. An SAR image-quality assessment method based on the modulation transfer function (MTF) is proposed for image interpretation, which jointly reflects the resolution and the contrast of the SAR image. In addition, it describes the imaging performance of the SAR system at different spatial frequencies. Specifically, we propose a feasible MTF test field and realize it in Shanghai Jiao Tong University, Shanghai, China. Then, we give the MTF measurement procedure and utilize the MTF curve to evaluate SAR image quality. Simulation results demonstrate that the proposed MTF-based method is more accurate to assess the SAR image quality than the conventional methods. In addition, the spaceborne SAR experiments are carried out by the TerraSAR-X sensor and the experimental results are given to confirm the benefits of the proposed method.

Citation Download Citation

Xin Lin, Kaizhi Wang, Junfeng Wang, and Xingzhao Liu "Image quality assessment based on modulation transfer function for synthetic aperture radar systems," Journal of Applied Remote Sensing 10(2), 026023 (25 May 2016). https://doi.org/10.1117/1.JRS.10.026023

Published: 25 May 2016

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