Design of Rapid Quality Evaluation Index for Ground-Based Synthetic Aperture Radar Images
At present,the ground-based synthetic aperture radar(GB-SAR)deformation monitoring technology has been widely used in geological disasters,urban changes and agricultural production.Due to environmental factors and changes in climate conditions,GB-SAR images may be affected by external factors during the collection process,thereby affecting the quality of data.The low-quality GB-SAR image will not only make it difficult to display the monitoring target completely,but also directly affect the accuracy of deformation monitoring.Therefore,effec-tive image quality evaluation methods are of great significance to ensure the accuracy of deformation monitoring work and data processing.This article is based on the Matlab platform and uses the multi-threshold method to filter high-quality pixels in SAR images.It comprehensively con-siders the thermal signalto-noise ratio,amplitude dispersion index,phase stability,and coherence coefficient of high-quality pixels in each im-age,and designs a comprehensive indicator to evaluate the quality of SAR images.Data are used to verify the rationality of the method proposed in this paper.The comparative analysis results show that the comprehensive quality index designed in this paper can show the trend of GB-SAR image quality over time,and screen out the low-quality data in the image sequence,providing guarantee for subsequent data processing.
万方数据
维普
