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Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm

Precise azimuth-variant motion compensation (MOCO) is an essential and difficult task for high-resolution synthetic aperture radar (SAR) imagery. In conventional post-filtering approaches, residual azimuth-variant motion errors are generally compensated through a set of spatial post-filters, where t...

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Autores principales: Zhang, Man, Wang, Guanyong, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712856/
https://www.ncbi.nlm.nih.gov/pubmed/29072608
http://dx.doi.org/10.3390/s17112454
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author Zhang, Man
Wang, Guanyong
Zhang, Lei
author_facet Zhang, Man
Wang, Guanyong
Zhang, Lei
author_sort Zhang, Man
collection PubMed
description Precise azimuth-variant motion compensation (MOCO) is an essential and difficult task for high-resolution synthetic aperture radar (SAR) imagery. In conventional post-filtering approaches, residual azimuth-variant motion errors are generally compensated through a set of spatial post-filters, where the coarse-focused image is segmented into overlapped blocks concerning the azimuth-dependent residual errors. However, image domain post-filtering approaches, such as precise topography- and aperture-dependent motion compensation algorithm (PTA), have difficulty of robustness in declining, when strong motion errors are involved in the coarse-focused image. In this case, in order to capture the complete motion blurring function within each image block, both the block size and the overlapped part need necessary extension leading to degeneration of efficiency and robustness inevitably. Herein, a frequency domain fast back-projection algorithm (FDFBPA) is introduced to deal with strong azimuth-variant motion errors. FDFBPA disposes of the azimuth-variant motion errors based on a precise azimuth spectrum expression in the azimuth wavenumber domain. First, a wavenumber domain sub-aperture processing strategy is introduced to accelerate computation. After that, the azimuth wavenumber spectrum is partitioned into a set of wavenumber blocks, and each block is formed into a sub-aperture coarse resolution image via the back-projection integral. Then, the sub-aperture images are straightforwardly fused together in azimuth wavenumber domain to obtain a full resolution image. Moreover, chirp-Z transform (CZT) is also introduced to implement the sub-aperture back-projection integral, increasing the efficiency of the algorithm. By disusing the image domain post-filtering strategy, robustness of the proposed algorithm is improved. Both simulation and real-measured data experiments demonstrate the effectiveness and superiority of the proposal.
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spelling pubmed-57128562017-12-07 Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm Zhang, Man Wang, Guanyong Zhang, Lei Sensors (Basel) Article Precise azimuth-variant motion compensation (MOCO) is an essential and difficult task for high-resolution synthetic aperture radar (SAR) imagery. In conventional post-filtering approaches, residual azimuth-variant motion errors are generally compensated through a set of spatial post-filters, where the coarse-focused image is segmented into overlapped blocks concerning the azimuth-dependent residual errors. However, image domain post-filtering approaches, such as precise topography- and aperture-dependent motion compensation algorithm (PTA), have difficulty of robustness in declining, when strong motion errors are involved in the coarse-focused image. In this case, in order to capture the complete motion blurring function within each image block, both the block size and the overlapped part need necessary extension leading to degeneration of efficiency and robustness inevitably. Herein, a frequency domain fast back-projection algorithm (FDFBPA) is introduced to deal with strong azimuth-variant motion errors. FDFBPA disposes of the azimuth-variant motion errors based on a precise azimuth spectrum expression in the azimuth wavenumber domain. First, a wavenumber domain sub-aperture processing strategy is introduced to accelerate computation. After that, the azimuth wavenumber spectrum is partitioned into a set of wavenumber blocks, and each block is formed into a sub-aperture coarse resolution image via the back-projection integral. Then, the sub-aperture images are straightforwardly fused together in azimuth wavenumber domain to obtain a full resolution image. Moreover, chirp-Z transform (CZT) is also introduced to implement the sub-aperture back-projection integral, increasing the efficiency of the algorithm. By disusing the image domain post-filtering strategy, robustness of the proposed algorithm is improved. Both simulation and real-measured data experiments demonstrate the effectiveness and superiority of the proposal. MDPI 2017-10-26 /pmc/articles/PMC5712856/ /pubmed/29072608 http://dx.doi.org/10.3390/s17112454 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Man
Wang, Guanyong
Zhang, Lei
Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm
title Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm
title_full Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm
title_fullStr Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm
title_full_unstemmed Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm
title_short Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm
title_sort precise aperture-dependent motion compensation with frequency domain fast back-projection algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712856/
https://www.ncbi.nlm.nih.gov/pubmed/29072608
http://dx.doi.org/10.3390/s17112454
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