Extension of Polar Format Algorithm to CSAR Imaging for Arbitrary Region of Interest
| Autor: | Jubo Hao, Feng Zuo, Shuliang Gui, Yiming Pi, Jin Li |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Synthetic aperture radar
Computer science Matched filter Physics::Medical Physics Fast Fourier transform 0211 other engineering and technologies 02 engineering and technology Computer Science::Graphics Kernel (image processing) Approximation error Region of interest Computer Science::Computer Vision and Pattern Recognition Distortion Wavenumber Algorithm 021101 geological & geomatics engineering Interpolation |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2019.8899869 |
| Popis: | We propose a fast algorithm to circular synthetic aperture radar (CSAR) imaging for arbitrary region of interest (ROI). This algorithm is an extension of traditional CSAR polar format algorithm (PFA). Firstly, to avoid severe defocus and distortion of off-centered ROI image caused by traditional CSAR PFA plane-wave approximation error, a novel PFA matched filter kernel is derived with ROI characteristic reference function. Then, according to the wavenumber support domain approximation of ROI, a new interpolation mapping relation is defined to obtain uniform rectilinear wavenumber domain data from polar format echo data. With the rectilinear data, the imaging result of ROI can be obtained by two dimensional inverse fast Fourier transform. |
| Databáze: | OpenAIRE |
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