Abstract
ABSTRACT Accurate assessment and analysis of Synthetic Aperture Radar (SAR) image quality is essential for improving image processing and application potential. To address the limitations of traditional assessment methods that rely solely on point target response energy and consider only single-scale polygon targets, we propose an integrated method for SAR image quality assessment that combines point target energy and morphology, multi-scale edge features and integration of land use categories with multi-scale polygon targets. The assessment results indicate that airborne SAR images exhibit high spatial resolution, better than 1.5 m, with a peak signal-to-noise ratio better than −15 dB. Morphological assessments show that SAR images have morphological consistency above 0.75 and angular consistency above 0.9. With increasing wavelength, the percentage of correctly detected edge features rises from 2.55 in the Ka-band to 3.16 in the S-band. The multi-scale polygon target combined with land use categories indicates that for the same land use category, the difference is less than 0.3 dB, further demonstrating the stability and reliability of the SAR imaging system. Land use categories in cross-polarized SAR images are less affected by noise compared to co-polarized modes. The proposed method exploits the geometric compositional structures within SAR images, improving the accuracy of quality assessment..
Published Version
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