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

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.

[1]  S. Quegan,et al.  Understanding Synthetic Aperture Radar Images , 1998 .

[2]  Karsten Schulz,et al.  A New Concept for SAR Image Quality Assessment Realizing Bar Patterns in SAR Images , 2008 .

[3]  Bo Zhang,et al.  Backscattering Feature Analysis and Recognition of Civilian Aircraft in TerraSAR-X Images , 2015, IEEE Geoscience and Remote Sensing Letters.

[4]  Harm Greidanus,et al.  SAR Image Quality Assessment and Indicators for Vessel and Oil Spill Detection , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Xin Lin,et al.  A new MTF-based image quality assessment for high-resolution SAR Sensors , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[6]  S. Cote,et al.  SAR image quality and calibration operations for the RADARSAT satellites at the Canadian Space Agency , 2009, 2009 International Radar Conference "Surveillance for a Safer World" (RADAR 2009).

[7]  Young K. Kwag,et al.  SAR Image Quality Assessment in Real Clutter Environment , 2008 .

[8]  Robert Metzig,et al.  TerraSAR-X System Performance Characterization and Verification , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Silvana G. Dellepiane,et al.  Quality Assessment of Despeckled SAR Images , 2014, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens..

[10]  Norman B. Nill,et al.  Conversion Between Sine Wave and Square Wave Spatial Frequency Response of an Imaging System , 2001 .

[11]  A Oy,et al.  Synthetic Aperture Radar Calibration Using Reference Reflectors , 1990 .

[12]  Xin Zhou,et al.  A Two-Component $K$–Lognormal Mixture Model and Its Parameter Estimation Method , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[13]  J. Marchand,et al.  SAR Image Quality Assessment , 1993 .

[14]  Silvana G. Dellepiane,et al.  Quality Assessment of Despeckled SAR Images , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.