SAR Image Formation Enhancement using Effective Velocity Estimation Method |
Paper ID : 1134-ASAT19 (R3) |
Authors: |
Mohamed Ahmed Fouad Elewa *1, Ahmed Abdelkhalek Azouz2, Ahmed Saleh Mashaly3, Ahmed Abdalla4 1Avionics,MTC,MTC, cairo, egypt 2Avionics,MTC,MTC, Cairo, Egypt 3Avionics,, MTC, MTC, cairo, Egypt 4Avionics, MTC, MTC, cairo, Egypt |
Abstract: |
Synthetic Aperture Radar (SAR) presents powerful tools for grounding mapping and remote sensing applications. Effective velocity is a vital index that controls the quality of SAR image formation. An accurate calculation of effective velocity provides a particular value of azimuth frequency modulated (FM) rate. The resultant azimuth FM rate could be used to produce a focused SAR image with sharp details. In this paper, SAR image formation enhancement is proposed using two guided methods based on precise effective velocity estimation. Firstly, effective velocity is initially estimated based on modeled chirp scaling algorithm. Secondly, an iteration method applies output image contrast, sharpness, and entropy measurements to estimate the optimum value of effective velocity. For modeled chirp scaling algorithm, real Sentinel-1 raw data is processed to reflect practical outcomes. Results are compared with originally formatted SAR images without enhancement for performance analysis and assessment. The proposed method for effective velocity estimation shows promising results. |
Keywords: |
Synthetic Aperture Radar (SAR), Chirp Scaling Algorithm (CSA), SAR Image Formation, Effective Velocity |
Status : Conditional Accept (Oral Presentation) |