Results 51 to 60 of about 6,407 (152)
Leida xuebao, 2016 Sparse microwave imaging is new concept, theory and methodology of microwave imaging, which introduces the sparse signal processing theory to microwave imaging and combines them together to overcome the paradox of increasing system complexity and imaging
Zhang Zhe +3 more
doaj +1 more source
Sparse representation-based SAR imaging [PDF]
, 2009 There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying ...
Cetin, Mujdat +3 more
core +1 more source
Blur resolved OCT: full-range interferometric synthetic aperture microscopy through dispersion encoding [PDF]
, 2001 We present a computational method for full-range interferometric synthetic aperture microscopy (ISAM) under dispersion encoding. With this, one can effectively double the depth range of optical coherence tomography (OCT), whilst dramatically enhancing ...
A.M. Wing +7 more
core +4 more sources
Fast Compressed Sensing SAR Imaging based on Approximated Observation
, 2013 In recent years, compressed sensing (CS) has been applied in the field of synthetic aperture radar (SAR) imaging and shows great potential. The existing models are, however, based on application of the sensing matrix acquired by the exact observation ...
Fang, Jian +4 more
core +1 more source
Sparse Imaging-Based Clutter Suppression and Refocusing of MTs in Passive Bistatic SAR
IEEE Access, 2020 A sparse-imaging-based methodology for the clutter suppression and refocusing of multiple slow-moving targets (MT) in passive bistatic synthetic aperture radar (SAR) is proposed in this paper.
Xin Wang, Xiaozong Song
doaj +1 more source
Hyper-parameter selection in non-quadratic regularization-based radar image formation [PDF]
, 2008 We consider the problem of automatic parameter selection in regularization-based radar image formation techniques. It has previously been shown that non-quadratic regularization produces feature-enhanced radar images; can yield superresolution; is ...
Batu, Ozge +3 more
core +1 more source
CS-SAR Imaging Method Based on Inverse Omega-K Algorithm
Leida xuebao, 2017 Compressed Sensing (CS) has been proved to be effective in Synthetic Aperture Radar (SAR) imaging. Previous CS-SAR imaging algorithms are very time consuming, especially for producing high-resolution images. In this study, we propose a new CS-SAR imaging
Hu Jingqiu +4 more
doaj +1 more source
SAR image reconstruction by expectation maximization based matching pursuit [PDF]
, 2015 Cataloged from PDF version of article.Synthetic Aperture Radar (SAR) provides high resolution images of terrain and target reflectivity. SAR systems are indispensable in many remote sensing applications.
Arikan, O., Gurbuz, A. C., Ugur, S.
core +1 more source
SAR image reconstruction and autofocus by compressed sensing [PDF]
, 2012 Cataloged from PDF version of article.A new SAR signal processing technique based on compressed sensing is proposed for autofocused image reconstruction on subsampled raw SAR data.
Arikan, O., Ugur, S.
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A Sparse SAR Imaging Method for Low-Oversampled Staggered Mode via Compound Regularization
Remote SensingHigh-resolution wide-swath (HRWS) imaging is the research focus of the modern spaceborne synthetic-aperture radar (SAR) imaging field, with significant relevance and vast application potential.
Mingqian Liu +5 more
doaj +1 more source