22.9.4.2.1 Radar, SAR, Ship Detection

Chapter Contents (Back)
SAR. Radar. Ship Detection. ATR.

Mecocci, A., Benelli, G., Garzelli, A., Bottalico, S.,
Radar image processing for ship-traffic control,
IVC(13), No. 2, March 1995, pp. 119-128.
Elsevier DOI 0401
BibRef

Musman, S., Kerr, D., Bachmann, C.,
Automatic Recognition of ISAR Ship Images,
AeroSys(32), No. 4, October 1996, pp. 1392-1404. 9611
BibRef

Kuo, J.M.[Jin Min], Chen, K.S.,
The application of wavelets correlator for ship wake detection in SAR images,
GeoRS(41), No. 6, June 2003, pp. 1506-1511.
IEEE Abstract. 0308
BibRef

Maki, A.[Atsuto], Fukui, K.[Kazuhiro],
Ship identification in sequential ISAR imagery,
MVA(15), No. 3, July 2004, pp. 149-155.
Springer DOI 0407
BibRef

Margarit, G., Mallorqui, J.J., Fortuny-Guasch, J., Lopez-Martinez, C.,
Exploitation of Ship Scattering in Polarimetric SAR for an Improved Classification Under High Clutter Conditions,
GeoRS(47), No. 4, April 2009, pp. 1224-1235.
IEEE DOI 0903
BibRef

Margarit, G., Tabasco, A.,
Ship Classification in Single-Pol SAR Images Based on Fuzzy Logic,
GeoRS(49), No. 8, August 2011, pp. 3129-3138.
IEEE DOI 1108
BibRef
Earlier: Correction: GeoRS(51), No. 5, May 2013, pp. 3201.
IEEE DOI 1305
BibRef

Margarit, G., Barba Milanés, J., Tabasco, A.,
Operational Ship Monitoring System Based on Synthetic Aperture Radar Processing,
RS(1), No. 3, September 2009, pp. 375-392.
DOI Link 1203
BibRef

Wang, Y., Liu, H.,
A Hierarchical Ship Detection Scheme for High-Resolution SAR Images,
GeoRS(50), No. 10, October 2012, pp. 4173-4184.
IEEE DOI 1210
BibRef

Liu, C., Gierull, C.H.,
A New Application for PolSAR Imagery in the Field of Moving Target Indication/Ship Detection,
GeoRS(45), No. 11, November 2007, pp. 3426-3436.
IEEE DOI 0709
BibRef

Brusch, S., Lehner, S., Fritz, T., Soccorsi, M., Soloviev, A., van Schie, B.,
Ship Surveillance With TerraSAR-X,
GeoRS(49), No. 3, March 2011, pp. 1092-1103.
IEEE DOI 1103
BibRef

Wang, X.L.[Xiao-Long], Chen, C.X.[Cui-Xia],
An Automatic Ship Detection Method Based on Local Gray-Level Gathering Characteristics in SAR Imagery,
ELCVIA(12), No. 1, 2013, pp. xx-yy.
DOI Link 1306
BibRef

Velotto, D., Soccorsi, M., Lehner, S.,
Azimuth Ambiguities Removal for Ship Detection Using Full Polarimetric X-Band SAR Data,
GeoRS(52), No. 1, January 2014, pp. 76-88.
IEEE DOI 1402
marine radar BibRef

Hu, C.[Canbin], Ferro-Famil, L.[Laurent], Kuang, G.Y.[Gang-Yao],
Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis,
RS(5), No. 12, 2013, pp. 6899-6920.
DOI Link 1412
BibRef

Atteia, G.E., Collins, M.J.[Michael J.],
On the use of compact polarimetry SAR for ship detection,
PandRS(80), No. 1, June 2013, pp. 1-9.
Elsevier DOI 1305
Ship detection; Polarimetry; Compact polarimetry; Synthetic aperture radar BibRef

Cui, Y., Yang, J., Yamaguchi, Y., Singh, G., Park, S.E., Kobayashi, H.,
On Semiparametric Clutter Estimation for Ship Detection in Synthetic Aperture Radar Images,
GeoRS(51), No. 5, May 2013, pp. 3170-3180.
IEEE DOI 1305
BibRef

Gao, G., Wang, X., Lai, T.,
Detection of Moving Ships Based on a Combination of Magnitude and Phase in Along-Track Interferometric SAR: Part I: SIMP Metric and Its Performance,
GeoRS(53), No. 7, July 2015, pp. 3565-3581.
IEEE DOI 1503
Clutter BibRef

Gao, G., Wang, X., Lai, T.,
Detection of Moving Ships Based on a Combination of Magnitude and Phase in Along-Track Interferometric SAR: Part II: Statistical Modeling and CFAR Detection,
GeoRS(53), No. 7, July 2015, pp. 3582-3599.
IEEE DOI 1503
Approximation methods BibRef

Marino, A.[Armando], Sanjuan-Ferrer, M.J.[Maria J.], Hajnsek, I.[Irena], Ouchi, K.[Kazuo],
Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms,
RS(7), No. 5, 2015, pp. 5416-5439.
DOI Link 1506
BibRef

Zhao, Y.[Ye], Zhang, M.[Min], Zhao, Y.W.[Yan-Wei], Geng, X.P.[Xu-Pu],
A Bistatic SAR Image Intensity Model for the Composite Ship-Ocean Scene,
GeoRS(53), No. 8, August 2015, pp. 4250-4258.
IEEE DOI 1506
geophysical image processing BibRef

Huang, X.J.[Xiao-Jing], Yang, W.[Wen], Zhang, H.J.[Hai-Jian], Xia, G.S.[Gui-Song],
Automatic Ship Detection in SAR Images Using Multi-Scale Heterogeneities and an A Contrario Decision,
RS(7), No. 6, 2015, pp. 7695.
DOI Link 1507
BibRef

Touzi, R., Hurley, J., Vachon, P.W.,
Optimization of the Degree of Polarization for Enhanced Ship Detection Using Polarimetric RADARSAT-2,
GeoRS(53), No. 10, October 2015, pp. 5403-5424.
IEEE DOI 1509
electromagnetic wave polarisation BibRef

Wang, X.L.[Xiao-Long], Chen, C.X.[Cui-Xia],
A fast line-scanning-based detection algorithm for real-time SAR ship detection,
SIViP(9), No. 8, November 2015, pp. 1975-1982.
WWW Link. 1511
BibRef

Wang, X.L.[Xiao-Long], Chen, C.X.[Cui-Xia],
Adaptive ship detection in SAR images using variance WIE-based method,
SIViP(10), No. 7, October 2016, pp. 1219-1224.
WWW Link. 1609
BibRef

Pelich, R., Longépé, N., Mercier, G., Hajduch, G., Garello, R.,
Vessel Refocusing and Velocity Estimation on SAR Imagery Using the Fractional Fourier Transform,
GeoRS(54), No. 3, March 2016, pp. 1670-1684.
IEEE DOI 1603
Acceleration BibRef

Vivone, G., Braca, P., Horstmann, J.,
Knowledge-Based Multitarget Ship Tracking for HF Surface Wave Radar Systems,
GeoRS(53), No. 7, July 2015, pp. 3931-3949.
IEEE DOI 1503
Clutter BibRef

Gao, G., Luo, Y., Ouyang, K., Zhou, S.,
Statistical Modeling of PMA Detector for Ship Detection in High-Resolution Dual-Polarization SAR Images,
GeoRS(54), No. 7, July 2016, pp. 4302-4313.
IEEE DOI 1606
Adaptation models BibRef

Gao, G., Ouyang, K., Luo, Y., Liang, S., Zhou, S.,
Scheme of Parameter Estimation for Generalized Gamma Distribution and Its Application to Ship Detection in SAR Images,
GeoRS(55), No. 3, March 2017, pp. 1812-1832.
IEEE DOI 1703
Clutter BibRef

Graziano, M.D.[Maria Daniela], d'Errico, M.[Marco], Rufino, G.[Giancarlo],
Wake Component Detection in X-Band SAR Images for Ship Heading and Velocity Estimation,
RS(8), No. 6, 2016, pp. 498.
DOI Link 1608
BibRef

Xu, L.[Lu], Zhang, H.[Hong], Wang, C.[Chao], Zhang, B.[Bo], Tian, S.[Sirui],
Compact Polarimetric SAR Ship Detection with m-d Decomposition Using Visual Attention Model,
RS(8), No. 9, 2016, pp. 751.
DOI Link 1610
BibRef

Fan, Q.C.[Qian-Cong], Chen, F.[Feng], Cheng, M.[Ming], Lou, S.L.[Shen-Long], Xiao, R.[Rulin], Zhang, B.[Biao], Wang, C.[Cheng], Li, J.[Jonathan],
Ship Detection Using a Fully Convolutional Network with Compact Polarimetric SAR Images,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Wang, S., Wang, M., Yang, S., Jiao, L.,
New Hierarchical Saliency Filtering for Fast Ship Detection in High-Resolution SAR Images,
GeoRS(55), No. 1, January 2017, pp. 351-362.
IEEE DOI 1701
geophysical techniques BibRef

Gao, G.[Gui], Shi, G.T.[Gong-Tao],
CFAR Ship Detection in Nonhomogeneous Sea Clutter Using Polarimetric SAR Data Based on the Notch Filter,
GeoRS(55), No. 8, August 2017, pp. 4811-4824.
IEEE DOI 1708
Clutter, Data models, Detectors, Marine vehicles, Scattering, Sea measurements, Synthetic aperture radar, Constant false alarm rate (CFAR), polarization, ship detection, synthetic, aperture, radar, (SAR) BibRef

Gao, G.[Gui], Shi, G.T.[Gong-Tao],
Ship Detection in Dual-Channel ATI-SAR Based on the Notch Filter,
GeoRS(55), No. 8, August 2017, pp. 4795-4810.
IEEE DOI 1708
Clutter, Covariance matrices, Interferometry, Marine vehicles, Oceans, Receivers, Synthetic aperture radar, Along-track interferometry (ATI), detection, ship, synthetic, aperture, radar, (SAR) BibRef

Gao, G.[Gui], Gao, S.[Sheng], He, J.[Juan], Li, G.S.[Gao-Sheng],
Ship Detection Using Compact Polarimetric SAR Based on the Notch Filter,
GeoRS(56), No. 9, September 2018, pp. 5380-5393.
IEEE DOI 1809
Marine vehicles, Synthetic aperture radar, Feature extraction, Scattering, Image reconstruction, Clutter, Oceans, synthetic aperture radar (SAR) BibRef

Gao, G.[Gui], Gao, S.[Sheng], He, J.[Juan], Li, G.S.[Gao-Sheng],
Adaptive Ship Detection in Hybrid-Polarimetric SAR Images Based on the Power-Entropy Decomposition,
GeoRS(56), No. 9, September 2018, pp. 5394-5407.
IEEE DOI 1809
Synthetic aperture radar, Marine vehicles, Feature extraction, Spaceborne radar, Entropy, Image reconstruction, synthetic aperture radar (SAR) BibRef

Renga, A., Moccia, A.,
Use of Doppler Parameters for Ship Velocity Computation in SAR Images,
GeoRS(54), No. 7, July 2016, pp. 3995-4011.
IEEE DOI 1606
Azimuth BibRef

Zhu, J.W.[Ji-Wei], Qiu, X.L.[Xiao-Lan], Pan, Z.X.[Zong-Xu], Zhang, Y.T.[Yue-Ting], Lei, B.[Bin],
An Improved Shape Contexts Based Ship Classification in SAR Images,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Greidanus, H.[Harm], Alvarez, M.[Marlene], Santamaria, C.[Carlos], Thoorens, F.X.[François-Xavier], Kourti, N.[Naouma], Argentieri, P.[Pietro],
The SUMO Ship Detector Algorithm for Satellite Radar Images,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Xi, Y.Y.[Yu-Yang], Lang, H.T.[Hai-Tao], Tao, Y.H.[Yun-Hong], Huang, L.[Lin], Pei, Z.[Zijun],
Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Kang, M.[Miao], Ji, K.F.[Ke-Feng], Leng, X.G.[Xiang-Guang], Lin, Z.[Zhao],
Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Graziano, M.D.[Maria Daniela], Grasso, M.[Marco], d'Errico, M.[Marco],
Performance Analysis of Ship Wake Detection on Sentinel-1 SAR Images,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Santamaria, C.[Carlos], Alvarez, M.[Marlene], Greidanus, H.[Harm], Syrris, V.[Vasileios], Soille, P.[Pierre], Argentieri, P.[Pietro],
Mass Processing of Sentinel-1 Images for Maritime Surveillance,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Ma, F.[Feng], Chen, Y.W.[Yu-Wang], Yan, X.P.[Xin-Ping], Chu, X.M.[Xiu-Min], Wang, J.[Jin],
Target recognition for coastal surveillance based on radar images and generalised Bayesian inference,
IET-ITS(12), No. 2, March 2018, pp. 103-112.
DOI Link 1801
BibRef

Lin, H.P.[Hui-Ping], Song, S.L.[Sheng-Li], Yang, J.[Jian],
Ship Classification Based on MSHOG Feature and Task-Driven Dictionary Learning with Structured Incoherent Constraints in SAR Images,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Lin, H.P.[Hui-Ping], Chen, H.[Hang], Wang, H.[Hongmiao], Yin, J.J.[Jun-Jun], Yang, J.[Jian],
Ship Detection for PolSAR Images via Task-Driven Discriminative Dictionary Learning,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Gierull, C.H., Sikaneta, I.,
A Compound-Plus-Noise Model for Improved Vessel Detection in Non-Gaussian SAR Imagery,
GeoRS(56), No. 3, March 2018, pp. 1444-1453.
IEEE DOI 1804
computational complexity, probability, radar clutter, radar detection, radar imaging, synthetic aperture radar, synthetic aperture radar (SAR) BibRef

Rikka, S.[Sander], Pleskachevsky, A.[Andrey], Jacobsen, S.[Sven], Alari, V.[Victor], Uiboupin, R.[Rivo],
Meteo-Marine Parameters from Sentinel-1 SAR Imagery: Towards Near Real-Time Services for the Baltic Sea,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Zhang, T.[Tao], Marino, A.[Armando], Xiong, H.L.[Hui-Lin], Yu, W.X.[Wen-Xian],
A Ship Detector Applying Principal Component Analysis to the Polarimetric Notch Filter,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Sun, Y.X., Liu, P., Jin, Y.Q.,
Ship Wake Components: Isolation, Reconstruction, and Characteristics Analysis in Spectral, Spatial, and TerraSAR-X Image Domains,
GeoRS(56), No. 7, July 2018, pp. 4209-4224.
IEEE DOI 1807
Dispersion, Image reconstruction, Kelvin, Marine vehicles, Shape, Spectral analysis, Synthetic aperture radar, synthetic aperture radar (SAR) image BibRef

Wang, Y., Chen, X.,
3-D Interferometric Inverse Synthetic Aperture Radar Imaging of Ship Target With Complex Motion,
GeoRS(56), No. 7, July 2018, pp. 3693-3708.
IEEE DOI 1807
Doppler radar, Imaging, Marine vehicles, Radar imaging, Radar scattering, Solid modeling, ship target BibRef

Similä, M.[Markku], Lensu, M.[Mikko],
Estimating the Speed of Ice-Going Ships by Integrating SAR Imagery and Ship Data from an Automatic Identification System,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Ma, H., Antoniou, M., Stove, A.G., Winkel, J., Cherniakov, M.,
Maritime Moving Target Localization Using Passive GNSS-Based Multistatic Radar,
GeoRS(56), No. 8, August 2018, pp. 4808-4819.
IEEE DOI 1808
passive radar, satellite navigation, target tracking, maritime moving target localization, target localization BibRef

Li, B., Liu, B., Guo, W., Zhang, Z., Yu, W.,
Ship Size Extraction for Sentinel-1 Images Based on Dual-Polarization Fusion and Nonlinear Regression: Push Error Under One Pixel,
GeoRS(56), No. 8, August 2018, pp. 4887-4905.
IEEE DOI 1808
gradient methods, image fusion, marine radar, radar imaging, regression analysis, ships, synthetic aperture radar, synthetic aperture radar (SAR) image BibRef

Shi, S., Shui, P.,
Sea-Surface Floating Small Target Detection by One-Class Classifier in Time-Frequency Feature Space,
GeoRS(56), No. 11, November 2018, pp. 6395-6411.
IEEE DOI 1811
Clutter, Feature extraction, Time series analysis, Detectors, Doppler effect, Radar cross-sections, one-class classifier BibRef

Hwang, J.I.[Jeong-In], Jung, H.S.[Hyung-Sup],
Automatic Ship Detection Using the Artificial Neural Network and Support Vector Machine from X-Band SAR Satellite Images,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Ma, M.Y.[Meng-Yuan], Chen, J.[Jie], Liu, W.[Wei], Yang, W.[Wei],
Ship Classification and Detection Based on CNN Using GF-3 SAR Images,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Zhang, Y.[Ying], Xiong, W.[Wei], Dong, X.[Xichao], Hu, C.[Cheng], Sun, Y.[Yang],
GRFT-Based Moving Ship Target Detection and Imaging in Geosynchronous SAR,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Leng, X., Ji, K., Zhou, S., Xing, X., Zou, H.,
Discriminating Ship From Radio Frequency Interference Based on Noncircularity and Non-Gaussianity in Sentinel-1 SAR Imagery,
GeoRS(57), No. 1, January 2019, pp. 352-363.
IEEE DOI 1901
Marine vehicles, Synthetic aperture radar, Oceans, Instruments, Sensors, Image resolution, Radiofrequency interference, synthetic aperture radar (SAR) BibRef

Snapir, B.[Boris], Waine, T.W.[Toby W.], Biermann, L.[Lauren],
Maritime Vessel Classification to Monitor Fisheries with SAR: Demonstration in the North Sea,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Liu, N.Y.[Neng-Yuan], Cao, Z.J.[Zong-Jie], Cui, Z.Y.[Zong-Yong], Pi, Y.M.[Yi-Ming], Dang, S.H.[Si-Hang],
Multi-Scale Proposal Generation for Ship Detection in SAR Images,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Cui, Z.Y.[Zong-Yong], Tang, C.[Cui], Cao, Z.J.[Zong-Jie], Liu, N.Y.[Neng-Yuan],
D-ATR for SAR Images Based on Deep Neural Networks,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Cui, Z.Y.[Zong-Yong], Dang, S.H.[Si-Hang], Cao, Z.J.[Zong-Jie], Wang, S.F.[Si-Fei], Liu, N.Y.[Neng-Yuan],
SAR Target Recognition in Large Scene Images via Region-Based Convolutional Neural Networks,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Wang, J.[Jun], Zheng, T.[Tong], Lei, P.[Peng], Bai, X.[Xiao],
A Hierarchical Convolution Neural Network (CNN)-Based Ship Target Detection Method in Spaceborne SAR Imagery,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Renga, A., Graziano, M.D., Moccia, A.,
Segmentation of Marine SAR Images by Sublook Analysis and Application to Sea Traffic Monitoring,
GeoRS(57), No. 3, March 2019, pp. 1463-1477.
IEEE DOI 1903
geophysical image processing, image segmentation, oceanographic regions, remote sensing by radar, ships, synthetic aperture radar (SAR) BibRef

Tings, B.[Björn], Pleskachevsky, A.[Andrey], Velotto, D.[Domenico], Jacobsen, S.[Sven],
Extension of Ship Wake Detectability Model for Non-Linear Influences of Parameters Using Satellite Based X-Band Synthetic Aperture Radar,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wang, Y.Y.[Yuan-Yuan], Wang, C.[Chao], Zhang, H.[Hong], Dong, Y.[Yingbo], Wei, S.[Sisi],
A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Chang, Y.L.[Yang-Lang], Anagaw, A.[Amare], Chang, L.[Lena], Wang, Y.C.[Yi Chun], Hsiao, C.Y.[Chih-Yu], Lee, W.H.[Wei-Hong],
Ship Detection Based on YOLOv2 for SAR Imagery,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Gierull, C.H.,
Demystifying the Capability of Sublook Correlation Techniques for Vessel Detection in SAR Imagery,
GeoRS(57), No. 4, April 2019, pp. 2031-2042.
IEEE DOI 1904
Doppler radar, image texture, marine radar, optical correlation, radar detection, radar imaging, ships, statistical analysis, synthetic aperture radar (SAR) BibRef

Filippo, B.[Biondi],
COSMO-SkyMed Staring Spotlight SAR Data for Micro-Motion and Inclination Angle Estimation of Ships by Pixel Tracking and Convex Optimization,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Salembier, P., Liesegang, S., López-Martínez, C.,
Ship Detection in SAR Images Based on Maxtree Representation and Graph Signal Processing,
GeoRS(57), No. 5, May 2019, pp. 2709-2724.
IEEE DOI 1905
filtering theory, geophysical image processing, image representation, learning (artificial intelligence), tree filter BibRef

Zhang, T.[Tao], Ji, J.S.[Jin-Sheng], Li, X.F.[Xiao-Feng], Yu, W.X.[Wen-Xian], Xiong, H.L.[Hui-Lin],
Ship Detection From PolSAR Imagery Using the Complete Polarimetric Covariance Difference Matrix,
GeoRS(57), No. 5, May 2019, pp. 2824-2839.
IEEE DOI 1905
covariance matrices, geophysical signal processing, notch filters, object detection, radar clutter, radar imaging, target-to-clutter ratio (TCR) BibRef

Zhang, T.[Tao], Jiang, L.F.[Lin-Feng], Xiang, D.L.[De-Liang], Ban, Y.F.[Yi-Fang], Pei, L.[Ling], Xiong, H.L.[Hui-Lin],
Ship detection from PolSAR imagery using the ambiguity removal polarimetric notch filter,
PandRS(157), 2019, pp. 41-58.
Elsevier DOI 1911
PolSAR, Ship detection, Azimuth ambiguity removal, GP-PNF, PSH, Depolarized energy ratio of targets BibRef

Zhang, J.Z.[Jia-Zhi], Zhang, X.[Xin], Deng, W.[Weibo], Ye, L.[Lei], Yang, Q.A.[Qi-Ang],
A Geometric Barycenter-Based Clutter Suppression Method for Ship Detection in HF Mixed-Mode Surface Wave Radar,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Pelich, R.[Ramona], Chini, M.[Marco], Hostache, R.[Renaud], Matgen, P.[Patrick], Lopez-Martinez, C.[Carlos], Nuevo, M.[Miguel], Ries, P.[Philippe], Eiden, G.[Gerd],
Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
dual-polarimetric descriptors. Ships. BibRef

Chen, S.Y.[Shi-Yuan], Li, X.J.[Xiao-Jiang],
A new CFAR algorithm based on variable window for ship target detection in SAR images,
SIViP(13), No. 4, June 2019, pp. 779-786.
WWW Link. 1906
BibRef

Zhang, T.[Tianwen], Zhang, X.L.[Xiao-Ling],
High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Joshi, S.K.[Sushil Kumar], Baumgartner, S.V.[Stefan V.], da Silva, A.B.C.[Andre B. C.], Krieger, G.[Gerhard],
Range-Doppler Based CFAR Ship Detection with Automatic Training Data Selection,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Back, M.Y.[Min-Young], Kim, D.[Donghan], Kim, S.W.[Sang-Wan], Won, J.S.[Joong-Sun],
Two-Dimensional Ship Velocity Estimation Based on KOMPSAT-5 Synthetic Aperture Radar Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Santi, F., Pieralice, F., Pastina, D.,
Joint Detection and Localization of Vessels at Sea With a GNSS-Based Multistatic Radar,
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., Xi, Y., Zhang, X.,
Ship Detection in High-Resolution SAR Images by Clustering Spatially Enhanced Pixel Descriptor,
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) BibRef

Biondi, F.[Filippo], Addabbo, P.[Pia], Orlando, D.[Danilo], Clemente, C.[Carmine],
Micro-Motion Estimation of Maritime Targets Using Pixel Tracking in Cosmo-Skymed Synthetic Aperture Radar Data: An Operative Assessment,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Ding, Z., Zhang, T., Li, Y., Li, G., Dong, X., Zeng, T., Ke, M.,
A Ship ISAR Imaging Algorithm Based on Generalized Radon-Fourier Transform With Low SNR,
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, noncooperative ship BibRef

Leng, X., Ji, K., Zhou, S., Xing, X.,
Ship Detection Based on Complex Signal Kurtosis in Single-Channel SAR Imagery,
GeoRS(57), No. 9, September 2019, pp. 6447-6461.
IEEE DOI 1909
Marine vehicles, Radar polarimetry, Synthetic aperture radar, Clutter, Gaussian distribution, Proposals, Sensitivity, synthetic aperture radar (SAR) BibRef

Cao, C.H.[Cheng-Hui], Zhang, J.[Jie], Meng, J.M.[Jun-Min], Zhang, X.[Xi], Mao, X.P.[Xing-Peng],
Analysis of Ship Detection Performance with Full-, Compact- and Dual-Polarimetric SAR,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Yang, J.Y.[Jun-Ying], Qiu, X.L.[Xiao-Lan], Zhong, L.H.[Li-Hua], Shang, M.Y.[Ming-Yang], Ding, C.B.[Chi-Biao],
A Simultaneous Imaging Scheme of Stationary Clutter and Moving Targets for Maritime Scenarios with the First Chinese Dual-Channel Spaceborne SAR Sensor,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Zhang, T.W.[Tian-Wen], Zhang, X.L.[Xiao-Ling], Shi, J.[Jun], Wei, S.J.[Shun-Jun],
Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Cui, Z., Li, Q., Cao, Z., Liu, N.,
Dense Attention Pyramid Networks for Multi-Scale Ship Detection in SAR Images,
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) BibRef

Sommer, A., Ostermann, J.,
Backprojection Subimage Autofocus of Moving Ships for Synthetic Aperture Radar,
GeoRS(57), No. 11, November 2019, pp. 8383-8393.
IEEE DOI 1911
Marine vehicles, Synthetic aperture radar, Antennas, Image reconstruction, Radar imaging, Spaceborne radar, synthetic aperture radar (SAR) BibRef

Gao, F.[Fei], Shi, W.[Wei], Wang, J.[Jun], Yang, E.[Erfu], Zhou, H.Y.[Hui-Yu],
Enhanced Feature Extraction for Ship Detection from Multi-Resolution and Multi-Scene Synthetic Aperture Radar (SAR) Images,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
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Fan, W.W.[Wei-Wei], Zhou, F.[Feng], Bai, X.[Xueru], Tao, M.L.[Ming-Liang], Tian, T.[Tian],
Ship Detection Using Deep Convolutional Neural Networks for PolSAR Images,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Ai, J., Tian, R., Luo, Q., Jin, J., Tang, B.,
Multi-Scale Rotation-Invariant Haar-Like Feature Integrated CNN-Based Ship Detection Algorithm of Multiple-Target Environment in SAR Imagery,
GeoRS(57), No. 12, December 2019, pp. 10070-10087.
IEEE DOI 1912
Marine vehicles, Feature extraction, Clutter, Synthetic aperture radar, Radar polarimetry, Correlation, constant false alarm rate (CFAR) detector (TCS-JCFAR)-based prescreening BibRef

Dechesne, C.[Clément], Lefèvre, S.[Sébastien], Vadaine, R.[Rodolphe], Hajduch, G.[Guillaume], Fablet, R.[Ronan],
Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Liu, G.[Genwang], Zhang, X.[Xi], Meng, J.[Junmin],
A Small Ship Target Detection Method Based on Polarimetric SAR,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Liang, Y.[Yi], Sun, K.[Kun], Zeng, Y.[Yugui], Li, G.[Guofei], Xing, M.D.[Meng-Dao],
An Adaptive Hierarchical Detection Method for Ship Targets in High-Resolution SAR Images,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
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Wei, S.J.[Shun-Jun], Su, H.[Hao], Ming, J.[Jing], Wang, C.[Chen], Yan, M.[Min], Kumar, D.[Durga], Shi, J.[Jun], Zhang, X.L.[Xiao-Ling],
Precise and Robust Ship Detection for High-Resolution SAR Imagery Based on HR-SDNet,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Liu, T., Zhang, J., Gao, G., Yang, J., Marino, A.,
CFAR Ship Detection in Polarimetric Synthetic Aperture Radar Images Based on Whitening Filter,
GeoRS(58), No. 1, January 2020, pp. 58-81.
IEEE DOI 2001
Marine vehicles, Speckle, Covariance matrices, Clutter, Synthetic aperture radar, Probability density function, synthetic aperture radar BibRef

Tian, M., Yang, Z., Duan, C., Liao, G., Liu, Y., Wang, C., Huang, P.,
A Method for Active Marine Target Detection Based on Complex Interferometric Dissimilarity in Dual-Channel ATI-SAR Systems,
GeoRS(58), No. 1, January 2020, pp. 251-267.
IEEE DOI 2001
Object detection, Synthetic aperture radar, Measurement, Marine vehicles, Clutter, Radar polarimetry, synthetic aperture radar (SAR) BibRef

Zhang, L.[Ling], Mao, D.W.[Dong-Wei], Niu, J.[Jiong], Wu, Q.M.J.[Q. M. Jonathan], Ji, Y.G.[Yong-Gang],
Continuous Tracking of Targets for Stereoscopic HFSWR Based on IMM Filtering Combined with ELM,
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High frequency surface wave radar. marine surveillance. BibRef

Karakus, O., Rizaev, I., Achim, A.,
Ship Wake Detection in SAR Images via Sparse Regularization,
GeoRS(58), No. 3, March 2020, pp. 1665-1677.
IEEE DOI 2003
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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 BibRef

Lu, H., Li, Y., Li, H., Lv, R., Lang, L., Li, Q., Song, G., Li, P., Wang, K., Xue, L., Zhu, D.,
Ship Detection by an Airborne Passive Interferometric Microwave Sensor (PIMS),
GeoRS(58), No. 4, April 2020, pp. 2682-2694.
IEEE DOI 2004
Airborne, interferometric, microwave sensor, passive, ship detection BibRef

Guo, R.[Rui], Cui, J.Y.[Jing-Yu], Jing, G.B.[Guo-Bin], Zhang, S.X.[Shuang-Xi], Xing, M.D.[Meng-Dao],
Validating GEV Model for Reflection Symmetry-Based Ocean Ship Detection with Gaofen-3 Dual-Polarimetric Data,
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Sun, W.F.[Wei-Feng], Ji, M.J.[Meng-Jie], Huang, W.M.[Wei-Min], Ji, Y.G.[Yong-Gang], Dai, Y.[Yongshou],
Vessel Tracking Using Bistatic Compact HFSWR,
RS(12), No. 8, 2020, pp. xx-yy.
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Li, Y.Z.[Yong-Zhen], Quan, S.[Sinong], Xiang, D.L.[De-Liang], Wang, W.[Wei], Hu, C.B.[Can-Bin], Liu, Y.[Yemin], Wang, X.[Xuesong],
Ship Recognition from Chaff Clouds with Sophisticated Polarimetric Decomposition,
RS(12), No. 11, 2020, pp. xx-yy.
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Chen, S.Q.[Shi-Qi], Zhang, J.[Jun], Zhan, R.H.[Rong-Hui],
R2FA-Det: Delving into High-Quality Rotatable Boxes for Ship Detection in SAR Images,
RS(12), No. 12, 2020, pp. xx-yy.
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Xiong, W.[Wei], Zhang, Y.[Ying], Dong, X.[Xichao], Cui, C.[Chang], Liu, Z.[Zheng], Xiong, M.H.[Ming-Hui],
A Novel Ship Imaging Method with Multiple Sinusoidal Functions to Match Rotation Effects in Geosynchronous SAR,
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Gao, F.[Fei], He, Y.S.[Yi-Shan], Wang, J.[Jun], Hussain, A.[Amir], Zhou, H.Y.[Hui-Yu],
Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images,
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Zhang, T.W.[Tian-Wen], Zhang, X.L.[Xiao-Ling], Shi, J.[Jun], Wei, S.[Shunjun],
HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery,
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Elsevier DOI 2008
HyperLi-Net, Deep learning, Ship detection, Synthetic Aperture Radar (SAR), High-speed, High-accurate BibRef

Jin, K., Chen, Y., Xu, B., Yin, J., Wang, X., Yang, J.,
A Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images,
GeoRS(58), No. 9, September 2020, pp. 6623-6638.
IEEE DOI 2008
Feature extraction, Marine vehicles, Object detection, Optical imaging, Optical sensors, Synthetic aperture radar, ship detection BibRef

Wang, X., Li, G., Zhang, X., He, Y.,
Ship Detection in SAR Images via Local Contrast of Fisher Vectors,
GeoRS(58), No. 9, September 2020, pp. 6467-6479.
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 Synthetic Aperture Radar,
GeoRS(58), No. 9, September 2020, pp. 6731-6747.
IEEE DOI 2008
Marine vehicles, Clutter, Detectors, Covariance matrices, Synthetic aperture radar, Training, truncated statistics (TS) BibRef

Graziano, M.D.[Maria Daniela], Renga, A.[Alfredo], Moccia, A.[Antonio],
Integration of Automatic Identification System (AIS) Data and Single-Channel Synthetic Aperture Radar (SAR) Images by SAR-Based Ship Velocity Estimation for Maritime Situational Awareness,
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Kuang, C., Wang, C., Wen, B., Hou, Y., Lai, Y.,
An Improved CA-CFAR Method for Ship Target Detection in Strong Clutter Using UHF Radar,
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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 BibRef

Graziano, M.D.[Maria Daniela],
Preliminary Results of Ship Detection Technique by Wake Pattern Recognition in SAR Images,
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Zhang, T.W.[Tian-Wen], Zhang, X.L.[Xiao-Ling], Ke, X.[Xiao], Zhan, X.[Xu], Shi, J.[Jun], Wei, S.J.[Shun-Jun], Pan, D.[Dece], Li, J.W.[Jian-Wei], Su, H.[Hao], Zhou, Y.[Yue], Kumar, D.[Durga],
LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images,
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Zhang, T., Yang, Z., Gan, H., Xiang, D., Zhu, S., Yang, J.,
PolSAR Ship Detection Using the Joint Polarimetric Information,
GeoRS(58), No. 11, November 2020, pp. 8225-8241.
IEEE DOI 2011
Marine vehicles, Scattering, Sea surface, Rough surfaces, Surface roughness, Detectors, Covariance matrices, surface scattering BibRef

Lanz, P.[Peter], Marino, A.[Armando], Brinkhoff, T.[Thomas], Köster, F.[Frank], Möller, M.[Matthias],
The InflateSAR Campaign: Evaluating SAR Identification Capabilities of Distressed Refugee Boats,
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Ding, F.[Fan], Zhao, C.[Chen], Chen, Z.Z.[Ze-Zong], Li, J.[Jian],
Sea Echoes for Airborne HF/VHF Radar: Mathematical Model and Simulation,
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Yang, J.Y.[Jun-Ying], Qiu, X.L.[Xiao-Lan], Shang, M.Y.[Ming-Yang], Zhong, L.H.[Li-Hua], Ding, C.[Chibiao],
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Yang, T., Karakus, O., Achim, A.,
Detection Of Ship Wakes In Sar Imagery Using Cauchy Regularisation,
ICIP20(3473-3477)
IEEE DOI 2011
Marine vehicles, Radon, Transforms, Inverse problems, Synthetic aperture radar, Image reconstruction, Cost function, Cauchy Proximal Operator BibRef

Rizaev, I., Karakus, O., Hogan, S.J., Achim, A.,
The Effect Of Sea State On Ship Wake Detectability In Simulated Sar Imagery,
ICIP20(3478-3482)
IEEE DOI 2011
Sea state, Marine vehicles, Indexes, Sea surface, Kelvin, Simulation, Satellites, SAR Imagery Simulation, Ship Wake, Wave Spectrum BibRef

Li, Z.[Zhi], Qu, C.W.[Chang-Wen], Zhou, Q.[Qiang], Liu, C.[Chen], Peng, S.J.[Shu-Juan], Li, J.W.[Jian-Wei],
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 BibRef

Negula, I.D.[I. Dana], Poenaru, V.D., Olteanu, V.G., Badea, A.,
Sentinel-1/2 Data For Ship Traffic Monitoring On The Danube River,
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A non-parametric CFAR detector based on SAR sea clutter statistical modeling,
ICIP15(4426-4430)
IEEE DOI 1512
CFAR; Synthetic aperture radar; clutter modeling; ship detection BibRef

Chen, W.T.[Wen-Ting], Ji, K.F.[Ke-Feng], Xing, X.W.[Xiang-Wei], Zou, H.X.[Huan-Xin], Sun, H.[Hao],
Ship recognition in high resolution SAR imagery based on feature selection,
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An Improved Automatic Ship Detection Method in SAR Images,
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A Heterogeneity-Based Ship Detection Algorithm for SAR Imagery,
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
ATR -- IR, Infra-Red, Thermal, Applications .


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