Fast compressive holographic 3-D image recovery for near-field synthetic aperture radar
| Autor: | Peng Libiao, Lyu Jue, Bi Dongjie, Xie Yongle, Li Xifeng |
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| Rok vydání: | 2017 |
| Předmět: |
Synthetic aperture radar
Physics Fast Fourier transform Holography 020206 networking & telecommunications 02 engineering and technology Iterative reconstruction Regularization (mathematics) law.invention Matrix (mathematics) Compressed sensing law Radar imaging 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm |
| Zdroj: | 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI). |
| Popis: | A fast compressive holographic 3-D image recovery approach is proposed for near-field synthetic aperture radar (SAR). Since the collected backscattered data are non-uniform spaced in K Z , the practical holographic 3-D SAR imaging system usually uses the non-uniform fast Fourier transform (NUFFT) to K Z reshape the data to uniformly space in K Z . With using both the NUFFT and reversing NUFFT will lead to significant accumulate error, the proposed approach uses a truncation repair operator to construct measurement matrix Φ, and its adjoint operator Φ†. Based on the constructed Φ and Φ†, a fast compressive holographic 3-D image recovery approach is introduced step by step, which uses a fast descending regularization parameter λ method and a FISTA (Fast Iterative Shrinkage-Thresholding Algorithm) updating stage to speed up the convergence. Four sets of aggregates experiments demonstrate that the proposed fast compressive approach can efficiently reconstruct holographic 3-D target images form low under-sampled measurements. |
| Databáze: | OpenAIRE |
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