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Refocusing of Moving Ships in Squint SAR Images Based on Spectrum Orthogonalization

dc.contributor.authorXuyao Tong
dc.contributor.authorMin Bao
dc.contributor.authorGuangcai Sun
dc.contributor.authorLiang Han
dc.contributor.authorYu Zhang
dc.contributor.authorMengdao Xing
dc.contributor.otherNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
dc.contributor.otherSchool of Electronic Engineering, Xidian University, Xi’an 710071, China
dc.contributor.otherNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
dc.contributor.otherSchool of Physics and Optoelectronic Engineering, Xidian University, Xi’an 710071, China
dc.contributor.otherSchool of Electronic Engineering, Xidian University, Xi’an 710071, China
dc.contributor.otherNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
dc.date.accessioned2025-10-09T04:55:02Z
dc.date.available2025-10-09T04:55:02Z
dc.date.issued01-07-2021
dc.identifier.urihttps://www.mdpi.com/2072-4292/13/14/2807
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/40837
dc.description.abstractMoving ship refocusing is challenging because the target motion parameters are unknown. Moreover, moving ships in squint synthetic aperture radar (SAR) images obtained by the back-projection (BP) algorithm usually suffer from geometric deformation and spectrum winding. Therefore, a spectrum-orthogonalization algorithm that refocuses moving ships in squint SAR images is presented. First, “squint minimization” is introduced to correct the spectrum by two spectrum compression functions: one to align the spectrum centers and another to translate the inclined spectrum into orthogonalized form. Then, the precise analytic function of the two-dimensional (2D) wavenumber spectrum is derived to obtain the phase error. Finally, motion compensation is performed in the two-dimensional wavenumber domain after the motion parameter is estimated by maximizing the image sharpness. This method has low computational complexity because it lacks interpolation and can be implemented by the inverse fast Fourier translation (IFFT) and fast Fourier translation (FFT). Processing results of simulation experiments and the GaoFen-3 squint SAR data validate the effectiveness of this method.
dc.language.isoEN
dc.publisherMDPI AG
dc.subject.lccScience
dc.titleRefocusing of Moving Ships in Squint SAR Images Based on Spectrum Orthogonalization
dc.typeArticle
dc.description.keywordssquint synthetic aperture radar (SAR)
dc.description.keywordsback-projection (BP) algorithm
dc.description.keywordsmoving ship refocusing
dc.description.keywordsspectrum orthogonalization
dc.description.keywordssquint minimization
dc.description.doi10.3390/rs13142807
dc.title.journalRemote Sensing
dc.identifier.e-issn2072-4292
dc.identifier.oaioai:doaj.org/journal:1c687819f46b42999419fb4c651c9b43
dc.journal.infoVolume 13, Issue 14


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