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Clutter, Data models, Detectors, Marine vehicles, Scattering,
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Clutter, Covariance matrices, Interferometry, Marine vehicles,
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Synthetic aperture radar, Marine vehicles, Feature extraction,
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computational complexity, probability, radar clutter,
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1807
Dispersion, Image reconstruction, Kelvin, Marine vehicles, Shape,
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1807
Doppler radar, Imaging, Marine vehicles, Radar imaging,
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1808
passive radar, satellite navigation, target tracking,
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1808
gradient methods, image fusion, marine radar, radar imaging,
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1811
Clutter, Feature extraction, Time series analysis, Detectors,
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1901
Marine vehicles, Synthetic aperture radar, Oceans, Instruments,
Sensors, Image resolution, Radiofrequency interference,
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1903
geophysical image processing, image segmentation,
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1904
Doppler radar, image texture, marine radar, optical correlation,
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1905
filtering theory, geophysical image processing,
image representation, learning (artificial intelligence),
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covariance matrices, geophysical signal processing,
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dual-polarimetric descriptors. Ships.
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GeoRS(57), No. 8, August 2019, pp. 5894-5913.
IEEE DOI
1908
Doppler radar, passive radar, radar receivers, radio receivers,
radio transmitters, satellite navigation, ship targets,
ship localization
BibRef
Lang, H.,
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Ship Detection in High-Resolution SAR Images by Clustering Spatially
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GeoRS(57), No. 8, August 2019, pp. 5407-5423.
IEEE DOI
1908
image resolution, object detection, radar imaging, ships,
synthetic aperture radar, ship detection,
synthetic aperture radar (SAR)
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GeoRS(57), No. 9, September 2019, pp. 6385-6396.
IEEE DOI
1909
Marine vehicles, Imaging, Signal to noise ratio,
Signal processing algorithms, Radar imaging, Doppler effect,
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Leng, X.,
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IEEE DOI
1909
Marine vehicles, Radar polarimetry, Synthetic aperture radar,
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Zhang, T.W.[Tian-Wen],
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1911
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GeoRS(57), No. 11, November 2019, pp. 8983-8997.
IEEE DOI
1911
Marine vehicles, Feature extraction, Radar polarimetry,
Synthetic aperture radar, Radar imaging, Semantics,
synthetic aperture radar (SAR)
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Sommer, A.,
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Backprojection Subimage Autofocus of Moving Ships for Synthetic
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IEEE DOI
1911
Marine vehicles, Synthetic aperture radar, Antennas,
Image reconstruction, Radar imaging, Spaceborne radar,
synthetic aperture radar (SAR)
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1912
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GeoRS(57), No. 12, December 2019, pp. 10070-10087.
IEEE DOI
1912
Marine vehicles, Feature extraction, Clutter,
Synthetic aperture radar, Radar polarimetry, Correlation,
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2001
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IEEE DOI
2001
Marine vehicles, Speckle, Covariance matrices, Clutter,
Synthetic aperture radar, Probability density function,
synthetic aperture radar
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Tian, M.,
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IEEE DOI
2001
Object detection, Synthetic aperture radar, Measurement,
Marine vehicles, Clutter, Radar polarimetry,
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2001
High frequency surface wave radar.
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Karakus, O.,
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IEEE DOI
2003
BibRef
And:
Correction:
GeoRS(58), No. 9, September 2020, pp. 6122-6123.
IEEE DOI
2008
Generalized minimax concave (GMC) regularization,
inverse problem, maximum a posteriori (MAP) estimation,
synthetic aperture radar (SAR) imagery.
Sea surface, Image color analysis
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Lu, H.,
Li, Y.,
Li, H.,
Lv, R.,
Lang, L.,
Li, Q.,
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Wang, K.,
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Zhu, D.,
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IEEE DOI
2004
Airborne, interferometric, microwave sensor, passive, ship detection
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Guo, R.[Rui],
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2004
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2004
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2006
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2006
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Xiong, W.[Wei],
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2007
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Gao, F.[Fei],
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2008
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Zhang, T.W.[Tian-Wen],
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Elsevier DOI
2008
HyperLi-Net, Deep learning, Ship detection,
Synthetic Aperture Radar (SAR), High-speed, High-accurate
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Jin, K.,
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IEEE DOI
2008
Feature extraction, Marine vehicles, Object detection,
Optical imaging, Optical sensors, Synthetic aperture radar,
ship detection
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Wang, X.,
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He, Y.,
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IEEE DOI
2008
Marine vehicles, Radar polarimetry, Detectors, Clutter,
Synthetic aperture radar, Detection algorithms,
synthetic aperture radar (SAR)
BibRef
Liu, T.,
Yang, Z.,
Marino, A.,
Gao, G.,
Yang, J.,
Robust CFAR Detector Based on Truncated Statistics for Polarimetric
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IEEE DOI
2008
Marine vehicles, Clutter, Detectors, Covariance matrices,
Synthetic aperture radar, Training, truncated statistics (TS)
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Graziano, M.D.[Maria Daniela],
Renga, A.[Alfredo],
Moccia, A.[Antonio],
Integration of Automatic Identification System (AIS) Data and
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1910
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Kuang, C.,
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An Improved CA-CFAR Method for Ship Target Detection in Strong
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IEEE DOI
2009
Clutter, Rivers, Marine vehicles, Doppler effect, Doppler radar,
Radar cross-sections, Extended target, improved CA-CFAR method,
UHF radar
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2009
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Zhang, T.W.[Tian-Wen],
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Shi, J.[Jun],
Wei, S.J.[Shun-Jun],
Pan, D.[Dece],
Li, J.W.[Jian-Wei],
Su, H.[Hao],
Zhou, Y.[Yue],
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LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship
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2009
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Zhang, T.,
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IEEE DOI
2011
Marine vehicles, Scattering, Sea surface, Rough surfaces,
Surface roughness, Detectors, Covariance matrices,
surface scattering
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Lanz, P.[Peter],
Marino, A.[Armando],
Brinkhoff, T.[Thomas],
Köster, F.[Frank],
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The InflateSAR Campaign: Evaluating SAR Identification Capabilities
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2011
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2011
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2011
Sea state, Marine vehicles, Indexes, Sea surface, Kelvin, Simulation,
Satellites, SAR Imagery Simulation, Ship Wake,
Wave Spectrum
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Ship detection in harbor area in SAR images based on constructing an
accurate sea-clutter model,
ICIVC17(13-19)
IEEE DOI
1708
Clutter, Fitting, Image segmentation, Marine vehicles,
Mathematical model, Strips,
constant false alarm rate, ship detection, the SAR image,
and-sea segmentation, port area, sea clutter model
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Olteanu, V.G.,
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Sentinel-1/2 Data For Ship Traffic Monitoring On The Danube River,
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1610
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A non-parametric CFAR detector based on SAR sea clutter statistical
modeling,
ICIP15(4426-4430)
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1512
CFAR; Synthetic aperture radar; clutter modeling; ship detection
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