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Published in 2020 at "Optics Communications"
DOI: 10.1016/j.optcom.2020.126354
Abstract: Abstract A large-range autofocus microwave photonic radar based on adaptive spatial filtering along the range direction is proposed to achieve high-resolution imaging of the target at any distance. By firstly estimating the target distance and…
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Keywords:
large range;
high resolution;
radar;
microwave photonic ... See more keywords
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Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2016.2602378
Abstract: In this paper, we propose a new and efficient inverse synthetic aperture radar (ISAR) autofocus technique by introducing eigenimages to boost the speed of the traditional autofocus algorithms. First, a preprocessing step is applied to…
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Keywords:
isar autofocus;
autofocus technique;
traditional autofocus;
autofocus ... See more keywords
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Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2671879
Abstract: In bistatic forward-looking synthetic aperture radar (BFSAR), conventional autofocus algorithms cannot estimate the phase errors accurately when the range walk is compensated in the azimuthal time domain. This problem stems from the influence of the…
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Keywords:
looking synthetic;
forward looking;
autofocus;
azimuth variant ... See more keywords
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Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2746758
Abstract: Phase autofocus is a key step in translational motion compensation for inverse synthetic aperture radar. From the eigenvalue decomposition (EVD) of the covariance matrix generated by the aligned range-compressed signal, eigenvectors can be obtained for…
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Keywords:
phase autofocus;
evd;
eigenvalue decomposition;
autofocus ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3217063
Abstract: Autofocus plays a key role in synthetic aperture radar (SAR) imaging, especially for high-resolution imaging. In the literature, the minimum-entropy-based algorithms (MEA) have been proven to be robust and have been widely applied in SAR.…
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Keywords:
pafnet fast;
afnet pafnet;
autofocus;
deep learning ... See more keywords
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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2988143
Abstract: Existing two-dimensional (2D) autofocus algorithms, exploiting the known structure of 2D phase error, lack the error estimation accuracy in the case of a low signal-to-noise ratio (SNR) due to the non-exhaustive use of the echo…
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Keywords:
dimensional autofocus;
autofocus technique;
frequency;
autofocus ... See more keywords
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Published in 2020 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.14.026512
Abstract: Abstract. Entropy-based parametric autofocus is commonly applied to correct the residual azimuth phase error (APE) that arises from the residual motion errors (RME) in synthetic aperture radar. However, the image’s entropy trends to a convex…
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Keywords:
synthetic aperture;
autofocus;
aperture radar;
stage ... See more keywords
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Published in 2017 at "Optics express"
DOI: 10.1364/oe.25.029945
Abstract: A mobile phone camera with an innovative electrically tunable liquid crystal lens (TLCL) concept is demonstrated. We first report the comparative theoretical and experimental analyses of the performance of a traditional "modal control" TLCL versus…
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Keywords:
camera;
liquid crystal;
optical camera;
autofocus ... See more keywords