A novel polar format algorithm for SAR images utilizing post azimuth transform interpolation.

Holzrichter, Michael Warren ; Martin, Grant D. ; Doerry, Armin Walter

Sandia National Laboratories

关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Radar.;    Image Analysis.;    Radar Image Analysis.;    Synthetic Aperture Radar.;   

DOI  :  10.2172/876306
RP-ID  :  SAND2005-5510
RP-ID  :  AC04-94AL85000
RP-ID  :  876306

美国|英语

来源: UNT Digital Library

【 摘 要 】

SAR phase history data represents a polar array in the Fourier space of a scene being imaged. Polar Format processing is about reformatting the collected SAR data to a Cartesian data location array for efficient processing and image formation. In a real-time system, this reformatting or ''re-gridding'' operation is the most processing intensive, consuming the majority of the processing time; it also is a source of error in the final image. Therefore, any effort to reduce processing time while not degrading image quality is valued. What is proposed in this document is a new way of implementing real-time polar-format processing through a variation on the traditional interpolation/2-D Fast Fourier Transform (FFT) algorithm. The proposed change is based upon the frequency scaling property of the Fourier Transform, which allows a post azimuth FFT interpolation. A post azimuth processing interpolation provides overall benefits to image quality and potentially more efficient implementation of the polar format image formation process.