Synthetic Aperture Radar (SAR) technology is vital in remote sensing, providing high-resolution imaging for airborne and satellite platforms. Real-time imaging remains challenging, with the Polar Format Algorithm (PFA) struggling to meet processing demands. Recent advancements, such as multi-DSP architecture systems and sub-aperture PFA algorithms, show promise in reducing imaging time. Challenges persist, including motion errors in long synthetic aperture times and radio frequency interference (RFI) in spaceborne SAR. While methods like inverse SAR (ISAR) and enhanced interference extraction exist, consistent high-resolution imaging across SAR modes is elusive. This research topic aims to enhance SAR systems' computational efficiency and imaging quality.
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Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Data Report
Editorial
FAIR² Data
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Policy and Practice Reviews
Policy Brief
Review
Systematic Review
Technology and Code
Keywords: Synthetic Aperture Radar (SAR), Real-time SAR Image Processing, Polar Format Algorithm (PFA), Radio Frequency Interference (RFI), Computational Efficiency, High-Resolution Imaging
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