SAR Imaging Algorithm of Ocean Waves Based on Optimum Subaperture

Area of Science:

• Ocean remote sensing
• Synthetic Aperture Radar (SAR) imaging

Background:

• SAR ocean images are often blurred, hindering accurate ocean information retrieval.
• Image blurring stems from ocean wave motion and surface decorrelation during SAR integration time.

Purpose of the Study:

• To develop a SAR imaging algorithm for clearer ocean wave imagery.
• To address blurring issues caused by wave motion and surface decorrelation.

Main Methods:

• Proposed a SAR imaging algorithm utilizing optimum subaperture focusing.
• Calculated optimum focus settings based on dominant wave azimuth phase velocity.
• Introduced a new evaluation metric, 'F', to determine the optimum subaperture.

Main Results:

• Successfully refocused dominant ocean waves, yielding clear SAR images.
• Applied the algorithm to airborne L-band and P-band SAR data.
• Demonstrated superior performance compared to existing methods.

Conclusions:

• The proposed algorithm effectively enhances SAR ocean image clarity.
• This advancement improves the acquisition of ocean information from SAR data.
• The method shows significant effectiveness and superiority for ocean wave imaging.