Journal ArticleDOI
Ground Moving Target Indication in SAR Images by Symmetric Defocusing
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TLDR
A new algorithm is presented to indicate ground moving targets in synthetic aperture radar images by the patch-by-patch sharpness comparison of the two defocused images.Abstract:
A new algorithm is presented to indicate ground moving targets in synthetic aperture radar images. Two filters, which differ only in the signs of the phase responses, are used to defocus the complex image respectively. In the two defocused images, each stationary target is blurred to the same extent, but each moving target is blurred to different extents. Therefore, moving targets can be indicated by the patch-by-patch sharpness comparison of the two defocused images. The results of the simulated and real data show that this algorithm is effective and efficient.read more
Citations
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Journal ArticleDOI
Detection and Imaging of Ground Moving Targets With Real SAR Data
Jian Yang,Chang Liu,Yanfei Wang +2 more
TL;DR: The two-step GMTI algorithm has the ability of indicating multiple moving targets, particularly those submerged by the clutter; the practical GMTIm algorithm shows a robust performance in real data moving target imaging since the motion errors are estimated and compensated.
Journal ArticleDOI
GMTI and Parameter Estimation for MIMO SAR System via Fast Interferometry RPCA Method
TL;DR: By using the orthogonal frequency division multiplexing chirp signals as the transmitted signals, it is demonstrated that the robust principal component analysis (RPCA) method can be successfully employed for ground moving target indication (GMTI) with no need for separating the matched signal and unmatched interferences.
Journal ArticleDOI
GMTI and Parameter Estimation via Time-Doppler Chirp-Varying Approach for Single-Channel Airborne SAR System
TL;DR: A time-Doppler chirp-varying (TDCV) filter is proposed for ground moving target indication and parameter estimation with the airborne SC-SAR system and the results obtained are consistent with the analysis presented in this paper.
Journal ArticleDOI
An Airborne SAR Moving Target Imaging and Motion Parameters Estimation Algorithm With Azimuth-Dechirping and the Second-Order Keystone Transform Applied
Jiefang Yang,Yunhua Zhang +1 more
TL;DR: An algorithm for airborne SAR moving target imaging and motion parameters estimation in Doppler ambiguity situation with azimuth-dechirping and the second-order keystone transform (SOKT) applied and a third-order phase model for the echo signal is proposed.
An Airborne SAR Moving Target Imaging and Motion Parameters Estimation Algorithm With Azimuth-Dechirping and the Second-Order
Jiefang Yang,Yunhua Zhang +1 more
TL;DR: In this paper, the authors proposed an algorithm for airborne SAR moving target imaging and motion parameters estimation in Doppler ambiguity situation with azimuth-dechirping and the second-order keystone transform (SOKT) applied.
References
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Journal ArticleDOI
Synthetic Aperture Imaging Radar and Moving Targets
TL;DR: In this paper, the effects of slowly moving targets as they appear in the output of an airborne coherent side-looking synthetic aperture imaging radar are considered, and two approaches to airborne moving target indication (AMTI) are summarized.
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Multidimensional Waveform Encoding: A New Digital Beamforming Technique for Synthetic Aperture Radar Remote Sensing
TL;DR: The innovative concept of multidimensional waveform encoding for spaceborne synthetic aperture radar (SAR) with digital beamforming on receive enables a new generation of SAR systems with improved performance and flexible imaging capabilities.
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Detecting moving targets in SAR imagery by focusing
TL;DR: In this paper, a new method for detecting moving targets in a synthetic aperture radar (SAR) image is presented, which involves segmenting a complex-valued SAR image into patches, focusing each patch separately, and measuring the sharpness increase in the focused patch.
Journal ArticleDOI
Minimum-entropy phase adjustment for ISAR
TL;DR: In this paper, a new technique is developed for phase adjustment in ISAR imaging, where the adjustment phase is found by iteratively solving an equation, which is derived by minimising the entropy of the image.
Journal ArticleDOI
Ground Moving Targets Imaging Algorithm for Synthetic Aperture Radar
TL;DR: Theoretical analysis confirms that the methodology can precisely focus targets without interpolation procedure, and the effectiveness of the proposed imaging technique is demonstrated by both simulated and real airborne SAR data.