24.8.2 ATR -- Clutter, Background Issues, Noise

Chapter Contents (Back)
ATR. Clutter.

Longmire, M.S., Milton, A.F., and Takken, E.H.,
Simulation of mid-infrared clutter rejection: 1. One-dimensional LMS spatial filter and adaptive threshold algorithms,
AppOpt(21), November 1982, pp. 3819. BibRef 8211

Schmidt, W.A.C.,
Modified Matched Filter for Cloud Clutter Suppression,
PAMI(12), No. 6, June 1990, pp. 594-600.
IEEE DOI The least-mean-square (LMS) filter has been developed as an alternative to the classical matched filter (MF). BibRef 9006

Harmuth, H.F.[Henning F.],
Extraction of radar targets from clutter,
US_Patent4,907,001, 03/06/1990.
HTML Version. Using the shape. BibRef 9003

Maffet, A., Wackerman, C.,
The Modified Beta Density Function as a Model for Synthetic Aperature Radar Clutter Statistics,
GeoRS(29), No. 2, 1991, pp. xx. BibRef 9100

Waldman, G., Wootton, J., Hobson, G., Leutkemeyer, K.,
A Normalized Clutter Measure for Images,
CVGIP(42), No. 2, May 1988, pp. 137-156.
Elsevier DOI BibRef 8805 PESIPS93(xx-yy). BibRef

Copeland, A.C.[Anthony C.], Trivedi, M.M.[Mohan M.], and McManemey, J.R.[James R.],
Evaluating Image Metrics for Target Discrimination using Psychophysical Experiments,
OptEng(35), No. 6, June 1996, pp. 1714-1722. BibRef 9606
Earlier:
Psychophysical Experiments for Evaluating a Selected Image Clutter Measures,
SPIE(2469), April 1995, pp. 452-461. Human Vision. BibRef

Cardillo, J.[John], Sid-Ahmed, M.A.[Maher A.],
Target Recognition in a Cluttered Scene Using Mathematical Morphology,
PR(29), No. 1, January 1996, pp. 27-49.
Elsevier DOI BibRef 9601

Guerault, F., Signac, L., Goudail, F., Refregier, P.,
Location of Target with Random Gray Levels in Correlated Background with Optimal Processors and Preprocessings,
OptEng(36), No. 10, October 1997, pp. 2660-2670. 9710
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Casasent, D.[David], Shenoy, R.[Rajesh],
Synthetic-Aperture Radar Detection and Clutter Rejection Minace Filters,
PR(30), No. 1, January 1997, pp. 151-161.
Elsevier DOI 9702
BibRef

Farina, A.,
Linear and Nonlinear Filters for Clutter Cancellation in Radar Systems,
SP(59), No. 1, May 1997, pp. 101-112. 9708
BibRef

Chacon, K.M.[Kim M.], Groves, G.K.[Gillian K.], Prager, K.E.[Kenneth E.],
Image-based detection and tracking system and processing method employing clutter measurements and signal-to-clutter ratios,
US_Patent5,602,760, 02/11/1997.
HTML Version. Select the tracker based on clutter and object. BibRef 9702

Chan, T.K., Kuga, Y., Ishimaru, A.,
Experimental Studies on Circular SAR Imaging in Clutter Using Angular Correlation Function Technique,
GeoRS(37), No. 5, September 1999, pp. 2192.
IEEE Top Reference. BibRef 9909

Matchko, R.M., Gerhart, G.R.,
Target Detection for Low Ambient Backgrounds,
OptEng(37), No. 7, July 1998, pp. 1945-1950. 9808
BibRef

Alberola-López, C., Casar-Corredera, J.R., de Miguel-Vela, G.,
Object CFAR detection in gamma-distributed textured-background images,
VISP(146), No. 3, 1999, pp. 130. BibRef 9900

Rizvi, S.A.[Syed A.], Saadawi, T.N.[Tarek N.], Nasrabadi, N.M.[Nasser M.],
A Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis,
PR(33), No. 11, November 2000, pp. 1931-1933.
Elsevier DOI 0011
BibRef
Earlier: A1, A3, Add third Der, S.Z.[Sandor Z.], ICIP99(IV:415-419).
IEEE DOI BibRef

Rizvi, S.A.[Syed A.], Nasrabadi, N.M.[Nasser M.],
A Modular Clutter Rejection Technique for Flir Imagery Using Region-based Principal Component Analysis,
PR(35), No. 12, December 2002, pp. 2895-2904.
Elsevier DOI 0209
BibRef
Earlier: ICIP00(Vol II: 475-478).
IEEE DOI 0008
BibRef

Chan, L.A.[Lipchen Alex], Der, S.Z.[Sandor Z.], Nasrabadi, N.M.[Nasser M.],
Joint Compression and Discrimination Algorithm for Clutter Rejection,
ICIP01(I: 525-528).
IEEE DOI 0108
BibRef
Earlier:
Dual-band Passive Infrared Imagery for Automatic Clutter Rejection,
ICIP00(Vol II: 463-466).
IEEE DOI 0008
BibRef

Chan, L.A.[Lipchen Alex], Nasrabadi, N.M.[Nasser M.], Torrieri, D.[Don],
Bipolar Eigenspace Separation Transformation for Automatic Clutter Rejection,
ICIP99(I:139-142).
IEEE DOI BibRef 9900

McKendrick, A.M.[Allison M.], Badcock, D.R.[David R.], Vingrys, A.J.[Algis J.],
Spatiotemporal filters in the detection of background modulation targets,
JOSA-A(17), No. 5, May 2000, pp. 836-845. Human vision limits 0005
BibRef

Manjeshwar, R.M.[Ravindra M.], Wilson, D.L.[David L.],
Effect of inherent location uncertainty on detection of stationary targets in noisy image sequences,
JOSA-A(18), No. 1, January 2001, pp. 78-85. 0101
BibRef

Manjeshwar, R.M.[Ravindra M.], Wilson, D.L.[David L.],
Hyperefficient detection of targets in noisy images,
JOSA-A(18), No. 3, March 2001, pp. 507-513. 0105
BibRef

Campos, J., Lhostis, S., Guillaume, M.,
Optimal multichannel estimation of the location of a target with nonoverlapping noise,
JOSA-A(17), No. 11, December 2000, pp. 2140-2147. 0101
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Kim, H.S.[Hyung Soo], Hero, A.O.,
Comparison of GLR and invariant detectors under structured clutter covariance,
IP(10), No. 10, October 2001, pp. 1509-1520.
IEEE DOI 0110
BibRef
Earlier:
Adaptive Target Detection Across a Clutter Boundary: GLR and Maximally Invariant Detectors,
ICIP00(Vol I: 681-684).
IEEE DOI 0008
BibRef

Diani, M., Baldacci, A., Corsini, G.,
Joint striping noise removal and background clutter cancellation in IR naval surveillance systems,
VISP(148), No. 6, December 2001, pp. 407-412.
IEEE Top Reference. 0203
BibRef

Diani, M., Acito, N., Corsini, G.,
Airborne threat detection in Navy IRST systems,
VISP(152), No. 1, February 2005, pp. 45-51.
IEEE Abstract. 0501
BibRef

Grenander, U.[Ulf], Srivastava, A.[Anuj],
Probability Models for Clutter in Natural Images,
PAMI(23), No. 4, April 2001, pp. 424-429.
IEEE DOI 0104
Modeling clutter assuming images are 2D views of 3D objects with some distribution. BibRef

Srivastava, A., Grenander, U.,
A Compact Probability Model for Natural Clutter,
ICIP01(II: 560-563).
IEEE DOI 0108
BibRef

Banerjee, A.[Amit], Chellappa, R.[Rama],
Statisticalphysical model for foliage clutter in ultra-wideband synthetic aperture radar images,
JOSA-A(20), No. 1, January 2003, pp. 32-39.
WWW Link. 0304
BibRef

Davidson, G., Griffiths, H.D., Ablett, S.,
Analysis of high-resolution land clutter,
VISP(151), No. 1, February 2004, pp. 86-91.
IEEE Abstract. 0403
Radar ground clutter from ground level radars. Use DEM. BibRef

Bitouk, D.[Dmitri], Miller, M.I.[Michael I.], Younes, L.[Laurent],
Clutter Invariant ATR,
PAMI(27), No. 5, May 2005, pp. 817-821.
IEEE Abstract. 0501
BibRef

Mele, K.[Katarina], Maver, J.[Jasna],
Recognizing objects on cluttered backgrounds,
PRL(26), No. 10, 15 July 2005, pp. 1512-1524.
Elsevier DOI 0506
BibRef

Escalera, S.[Sergio], Pujol, O.[Oriol], Radeva, P.I.[Petia I.],
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scenes,
PRL(28), No. 13, 1 October 2007, pp. 1759-1768.
Elsevier DOI 0709
Object detection; Object recognition; Boosting; Correlogram; Multiple classifiers; Embedding of dichotomies BibRef

Mirza-Mohammadi, M.[Mehdi], Escalera, S.[Sergio], Radeva, P.I.[Petia I.],
Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object Categorization,
CAIP09(748-756).
Springer DOI 0909
BibRef

Mezache, A.[Amar], Soltani, F.[Faouzi],
Threshold optimization of decentralized CFAR detection in weibull clutter using genetic algorithms,
SIViP(2), No. 1, January 2008, pp. 1-7.
Springer DOI 0712
CFAR: constant false alarm rate. BibRef

Abdou, L.[Latifa], Soltani, F.[Faouzi],
OS-CFAR and CMLD threshold optimization in distributed systems using evolutionary strategies,
SIViP(2), No. 2, June 2008, pp. xx-yy.
Springer DOI 0711
BibRef

Tabet, L.[Leila], Soltani, F.[Faouzi],
A generalized switching CFAR processor based on test cell statistics,
SIViP(3), No. 3, September 2009, pp. xx-yy.
Springer DOI 0910
BibRef

Alioua, C.[Chehla], Soltani, F.[Faouzi],
On the modelling of uncertainty in radar CFAR detection,
SIViP(4), No. 4, November 2010, pp. 381-388.
WWW Link. 1101
BibRef

Meziani, H.A.[Hilal A.], Soltani, F.[Faouzi],
Optimum second threshold for the CFAR binary integrator in Pearson-distributed clutter,
SIViP(6), No. 2, June 2012, pp. 223-230.
WWW Link. 1205
BibRef

Li, H.[Hong], Xu, S.H.[Shao-Hua], Li, L.Q.[Luo-Qing],
Dim target detection and tracking based on empirical mode decomposition,
SP:IC(23), No. 10, November 2008, pp. 788-797.
Elsevier DOI 0804
Target detection and tracking; Empirical mode decomposition; Intrinsic mode function; Mathematical morphology; Hilbert transform BibRef

Sen, S., Nehorai, A.,
Target Detection in Clutter Using Adaptive OFDM Radar,
SPLetters(16), No. 7, July 2009, pp. 592-595.
IEEE DOI 0905
BibRef

Morelle, N.[Nicolas], Testorf, M.E.[Markus E.], Thirion, N.[Nadčge], Saillard, M.[Marc],
Electromagnetic probing for target detection: Rejection of surface clutter based on the Wigner distribution,
JOSA-A(26), No. 5, May 2009, pp. 1178-1186.
WWW Link. 0905
BibRef

Borcea, L.[Liliana], Papanicolaou, G.[George], Tsogka, C.,
Adaptive Time-Frequency Detection and Filtering for Imaging in Heavy Clutter,
SIIMS(4), No. 3, 2011, pp. 827-849.
WWW Link. 1110
BibRef

Borcea, L.[Liliana], Moscoso, M.[Miguel], Papanicolaou, G.[George], Tsogka, C.[Chrysoula],
Synthetic Aperture Imaging of Direction- and Frequency-Dependent Reflectivities,
SIIMS(9), No. 1, 2016, pp. 52-81.
DOI Link 1604
BibRef

Moscoso, M.[Miguel], Novikov, A.[Alexei], Papanicolaou, G.[George],
Coherent Imaging without Phases,
SIIMS(9), No. 4, 2016, pp. 1689-1707.
DOI Link 1612

See also Illumination Strategies for Intensity-Only Imaging. BibRef

Moscoso, M.[Miguel], Novikov, A.[Alexei], Papanicolaou, G.[George], Tsogka, C.[Chrysoula],
Multifrequency Interferometric Imaging with Intensity-Only Measurements,
SIIMS(10), No. 3, 2017, pp. 1005-1032.
DOI Link 1710
BibRef

Ollila, E., Tyler, D.E., Koivunen, V., Poor, H.V.,
Compound-Gaussian Clutter Modeling With an Inverse Gaussian Texture Distribution,
SPLetters(19), No. 12, December 2012, pp. 876-879.
IEEE DOI 1212
BibRef

Beard, M., Vo, B.T.[Ba-Tuong], Vo, B.N.[Ba-Ngu],
Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter,
SPLetters(20), No. 4, April 2013, pp. 323-326.
IEEE DOI 1303
Gaussian Mixture Cardinalised Probability Hypothesis Density. BibRef

Zhang, T.X.[Tian-Xian], Cui, G.L.[Guo-Long], Kong, L.J.[Ling-Jiang], Yang, X.B.[Xiao-Bo],
Adaptive Bayesian Detection Using MIMO Radar in Spatially Heterogeneous Clutter,
SPLetters(20), No. 6, 2013, pp. 547-550.
IEEE DOI 1307
heterogeneous clutter; maximum posteriori (MAP) estimator BibRef

Gao, Y.C.[Yong-Chan], Liao, G.S.[Gui-Sheng], Zhu, S.Q.[Sheng-Qi], Yang, D.[Dong],
A Persymmetric GLRT for Adaptive Detection in Compound-Gaussian Clutter With Random Texture,
SPLetters(20), No. 6, 2013, pp. 615-618.
IEEE DOI 1307
maximum likelihood estimation BibRef

Zuo, L.[Lei], Li, M.[Ming], Zhang, X.W.[Xiao-Wei], Wang, Y.J.[Ya-Jun], Wu, Y.[Yan],
An Efficient Method for Detecting Slow-Moving Weak Targets in Sea Clutter Based on Time-Frequency Iteration Decomposition,
GeoRS(51), No. 6, 2013, pp. 3659-3672.
IEEE DOI 1307
Wigner distribution; Eigenvalue decomposition BibRef

Xu, D., Shi, Z.,
DSIM: A DisSIMilarity-Based Image Clutter Metric for Targeting Performance,
IP(22), No. 10, 2013, pp. 4108-4122.
IEEE DOI 1309
Image clutter metric BibRef

Zhang, L.M.[Lu-Ming], Han, Y.H.[Ya-Hong], Yang, Y.[Yi], Song, M.L.[Ming-Li], Yan, S.C.[Shui-Cheng], Tian, Q.[Qi],
Discovering Discriminative Graphlets for Aerial Image Categories Recognition,
IP(22), No. 12, 2013, pp. 5071-5084.
IEEE DOI 1312
clutter BibRef

Jagadeesh, V., Manjunath, B.S., Anderson, J., Jones, B.W., Marc, R., Fisher, S.K.,
Robust Segmentation Based Tracing Using an Adaptive Wrapper for Inducing Priors,
IP(22), No. 12, 2013, pp. 4952-4963.
IEEE DOI 1312
clutter BibRef

Sjogren, T.K., Vu, V.T., Pettersson, M.I., Wang, F., Murdin, D.J.G., Gustavsson, A., Ulander, L.M.H.,
Suppression of Clutter in Multichannel SAR GMTI,
GeoRS(52), No. 7, July 2014, pp. 4005-4013.
IEEE DOI 1403
Azimuth BibRef

Sen, S.,
PAPR-Constrained Pareto-Optimal Waveform Design for OFDM-STAP Radar,
GeoRS(52), No. 6, June 2014, pp. 3658-3669.
IEEE DOI 1403
Clutter BibRef

Maresca, S., Braca, P., Horstmann, J., Grasso, R.,
Maritime Surveillance Using Multiple High-Frequency Surface-Wave Radars,
GeoRS(52), No. 8, August 2014, pp. 5056-5071.
IEEE DOI 1403
Clutter BibRef

Aubry, A., de Maio, A., Orlando, D., Piezzo, M.,
Adaptive Detection of Point-Like Targets in the Presence of Homogeneous Clutter and Subspace Interference,
SPLetters(21), No. 7, July 2014, pp. 848-852.
IEEE DOI 1405
Clutter BibRef

Gunturkun, U.,
Bivariate Empirical Mode Decomposition for Cognitive Radar Scene Analysis,
SPLetters(22), No. 5, May 2015, pp. 603-607.
IEEE DOI 1411
Clutter BibRef

Zhang, R.L.[Ren-Li], Sheng, W.X.[Wei-Xing], Ma, X.F.[Xiao-Feng], Han, Y.B.[Yu-Bing],
Clutter map CFAR detector based on maximal resolution cell,
SIViP(9), No. 5, July 2015, pp. 1151-1162.
Springer DOI 1506
BibRef

Abramovich, Y.I., Besson, O.,
Fluctuating Target Detection in Fluctuating K-Distributed Clutter,
SPLetters(22), No. 10, October 2015, pp. 1791-1795.
IEEE DOI 1506
Approximation methods BibRef

Tao, D.[Ding], Anfinsen, S.N., Brekke, C.,
Robust CFAR Detector Based on Truncated Statistics in Multiple-Target Situations,
GeoRS(54), No. 1, January 2016, pp. 117-134.
IEEE DOI 1601
object detection BibRef

Gracheva, V., Ender, J.,
Multichannel Analysis and Suppression of Sea Clutter for Airborne Microwave Radar Systems,
GeoRS(54), No. 4, April 2016, pp. 2385-2399.
IEEE DOI 1604
Airborne radar BibRef

Tao, D., Doulgeris, A.P., Brekke, C.,
A Segmentation-Based CFAR Detection Algorithm Using Truncated Statistics,
GeoRS(54), No. 5, May 2016, pp. 2887-2898.
IEEE DOI 1604
image segmentation BibRef

Xu, J., Liao, G., So, H.C.,
Space-Time Adaptive Processing With Vertical Frequency Diverse Array for Range-Ambiguous Clutter Suppression,
GeoRS(54), No. 9, September 2016, pp. 5352-5364.
IEEE DOI 1609
remote sensing by radar BibRef

Hao, C.P.[Cheng-Peng], Orlando, D.[Danilo], Foglia, G.[Goffredo], Giunta, G.[Gaetano],
Knowledge-Based Adaptive Detection: Joint Exploitation of Clutter and System Symmetry Properties,
SPLetters(23), No. 10, October 2016, pp. 1489-1493.
IEEE DOI 1610
covariance matrices BibRef

Weinberg, G.V.[Graham V.],
Asymptotic Performance of the Geometric Mean Detector in Pareto Distributed Clutter,
SPLetters(23), No. 11, November 2016, pp. 1538-1542.
IEEE DOI 1609
Pareto distribution BibRef

Weinberg, G.V.[Graham V.],
Trimmed geometric mean order statistic CFAR detector for Pareto distributed clutter,
SIViP(12), No. 4, May 2018, pp. 651-657.
WWW Link. 1805
BibRef

Weinberg, G.V.[Graham V.],
On the Construction of CFAR Decision Rules via Transformations,
GeoRS(55), No. 2, February 2017, pp. 1140-1146.
IEEE DOI 1702
Pareto distribution BibRef

Shui, P.L., Shi, L.X., Yu, H., Huang, Y.T.,
Iterative Maximum Likelihood and Outlier-robust Bipercentile Estimation of Parameters of Compound-Gaussian Clutter With Inverse Gaussian Texture,
SPLetters(23), No. 11, November 2016, pp. 1572-1576.
IEEE DOI 1609
Gaussian processes BibRef

Tian, C.[Chao], Shui, P.L.[Peng-Lang],
Outlier-Robust Truncated Maximum Likelihood Parameter Estimation of Compound-Gaussian Clutter with Inverse Gaussian Texture,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Tang, H., Wan, X., Ke, H.,
Signal Detection in Clutter and Noise Using Well-Characterized Subspace,
SPLetters(24), No. 9, September 2017, pp. 1343-1347.
IEEE DOI 1708
Clutter, Detectors, Indexes, Mathematical model, Maximum likelihood estimation, Signal detection, Testing, Energy detector, generalized likelihood ratio test (GLRT), matched, subspace, detector BibRef

Zhang, L.[Ling], You, W.[Wei], Wu, Q.M.J.[Q. M. Jonathan], Qi, S.B.[Sheng-Bo], Ji, Y.G.[Yong-Gang],
Deep Learning-Based Automatic Clutter/Interference Detection for HFSWR,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Yan, K., Bai, Y., Wu, H., Zhang, X.,
Robust Target Detection Within Sea Clutter Based on Graphs,
GeoRS(57), No. 9, September 2019, pp. 7093-7103.
IEEE DOI 1909
Clutter, Feature extraction, Object detection, Quantization (signal), Radar clutter, Detectors, target detection BibRef

Zhang, J.X.[Jue-Xin], Wang, Z.Z.[Zuo-Zhen], Zhao, Z.Q.[Zhi-Qin], Nie, Z.P.[Zai-Ping],
Persymmetric Adaptive Detection With Reduced-Dimension Approach,
SPLetters(27), 2020, pp. 565-569.
IEEE DOI 2005
Detectors, Covariance matrices, Training data, Signal to noise ratio, Object detection, Gaussian noise, reduced-dimension BibRef

Guo, Y., Liao, G., Li, J., Gu, T.,
A Clutter Suppression Method Based on NSS-RPCA in Heterogeneous Environments for SAR-GMTI,
GeoRS(58), No. 8, August 2020, pp. 5880-5891.
IEEE DOI 2007
Clutter, Covariance matrices, Sparse matrices, Synthetic aperture radar, Tensile stress, Apertures, Azimuth, synthetic aperture radar (SAR) BibRef

He, P.Y.[Peng-Yuan], He, S.[Shun], Yang, Z.W.[Zhi-Wei], Huang, P.H.[Peng-Hui],
An Off-Grid STAP Algorithm Based On Local Mesh Splitting With Bistatic Radar System,
SPLetters(27), 2020, pp. 1355-1359.
IEEE DOI 2008
Clutter, Dictionaries, Signal processing algorithms, Estimation, Matching pursuit algorithms, Bistatic radar, mesh split BibRef

Li, Z., Li, S., Liu, Z., Yang, H., Wu, J., Yang, J.,
Bistatic Forward-Looking SAR MP-DPCA Method for Space-Time Extension Clutter Suppression,
GeoRS(58), No. 9, September 2020, pp. 6565-6579.
IEEE DOI 2008
Clutter, Doppler effect, Synthetic aperture radar, Receivers, Time-frequency analysis, Doppler radar, space-time extension BibRef

Bocquet, S., Rosenberg, L., Gierull, C.H.,
Parameter Estimation for a Compound Radar Clutter Model With Trimodal Discrete Texture,
GeoRS(58), No. 10, October 2020, pp. 7062-7073.
IEEE DOI 2009
Clutter, Data models, Mathematical model, Maximum likelihood estimation, Compounds, Method of moments, Radar, synthetic aperture radar (SAR) BibRef

He, X., Liao, G., Zhu, S., Xu, J., Wang, C.,
Range-Ambiguous Clutter Suppression for the SAR-GMTI System Based on Extended Azimuth Phase Coding,
GeoRS(58), No. 11, November 2020, pp. 8147-8162.
IEEE DOI 2011
Azimuth, Clutter, Synthetic aperture radar, Doppler effect, Receiving antennas, Transmitting antennas, synthetic aperture radar (SAR) BibRef

Guo, L.[Liang], Deng, W.B.[Wei-Bo], Yao, D.[Di], Yang, Q.[Qiang], Ye, L.[Lei], Zhang, X.[Xin],
A Knowledge-Based Auxiliary Channel STAP for Target Detection in Shipborne HFSWR,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
High frequency surface wave radar. BibRef

Coluccia, A.[Angelo], Fascista, A.[Alessio], Ricci, G.[Giuseppe],
A KNN-Based Radar Detector for Coherent Targets in Non-Gaussian Noise,
SPLetters(28), 2021, pp. 778-782.
IEEE DOI 2105
Clutter, Detectors, Covariance matrices, Radar, Radar detection, Thermal noise, Data models, Radar detection, non-Gaussian clutter, k-nearest neighbors (KNN) BibRef

Zhang, L.[Ling], Zhang, J.Z.[Jing-Zhi], Niu, J.[Jiong], Wu, Q.M.J.[Q. M. Jonathan], Li, G.[Gangsheng],
Track Prediction for HF Radar Vessels Submerged in Strong Clutter Based on MSCNN Fusion with GRU-AM and AR Model,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Xiong, G.[Gang], Wang, L.J.[Li-Jun], Yu, W.X.[Wen-Xian],
Radar Sea Clutter Reconstruction Based on Statistical Singularity Power Spectrum and Instantaneous Singularity Exponents Distribution,
GeoRS(59), No. 7, July 2021, pp. 5687-5697.
IEEE DOI 2106
Fractals, Clutter, Image reconstruction, Sea measurements, Computational modeling, Radar clutter, Multiscale wavelet model, statistical singularity power spectrum (SSPS) BibRef

Li, X.[Xin], Shui, P.L.[Peng-Lang], Zhang, Z.D.[Zhe-Dong], Zhang, Y.S.[Yu-Shi], Xu, S.W.[Shu-Wen],
External Calibration of P-Band Island-Based Sea Clutter Measurement Radar on the Sea Surface,
GeoRS(59), No. 7, July 2021, pp. 5711-5720.
IEEE DOI 2106
Radar cross-sections, Calibration, Sea measurements, Radar antennas, Sea surface, Multipath propagation effect, radar system constant BibRef

Huang, P.H.[Peng-Hui], Zou, Z.H.[Zi-Hao], Xia, X.G.[Xiang-Gen], Liu, X.Z.[Xing-Zhao], Liao, G.S.[Gui-Sheng], Xin, Z.H.[Zhi-Hui],
Multichannel Sea Clutter Modeling for Spaceborne Early Warning Radar and Clutter Suppression Performance Analysis,
GeoRS(59), No. 10, October 2021, pp. 8349-8366.
IEEE DOI 2109
Clutter, Spaceborne radar, Radar, Sea surface, Atmospheric modeling, Analytical models, Scattering, Clutter motion, clutter suppression, spaceborne early warning radar BibRef

Zhang, L.[Le], Xue, A.[Anke], Zhao, X.D.[Xiao-Dong], Xu, S.[Shuwen], Mao, K.[Kecheng],
Sea-Land Clutter Classification Based on Graph Spectrum Features,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zuo, L.[Luo], Wang, J.[Jun], Sui, J.X.[Jin-Xin], Li, N.[Nan],
An Inter-Subband Processing Algorithm for Complex Clutter Suppression in Passive Bistatic Radar,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Chen, C.[Cheng], Liu, T.[Tao], Liu, Y.[Yu], Yang, B.S.[Bo-Song], Su, Y.[Yi],
Learning-Based Clutter Mitigation with Subspace Projection and Sparse Representation in Holographic Subsurface Radar Imaging,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Wang, T.Q.[Tian-Qi], Xu, D.[Da], Hao, C.P.[Cheng-Peng], Addabbo, P.[Pia], Orlando, D.[Danilo],
Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices,
SPLetters(29), 2022, pp. 642-646.
IEEE DOI 2203
Clutter, Covariance matrices, Image edge detection, Estimation, Radar detection, Location awareness, generalized likelihood ratio test BibRef

Wang, Y.M.[Yu-Ming], Song, Q.[Qian], Wang, J.[Jian], Du, B.[Baoqiang], Wang, P.Y.[Peng-Yu],
A Correction Method to Systematic Phase Drift of a High Resolution Radar for Foreign Object Debris Detection,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ji, X.W.[Xiao-Wei], Yang, Q.[Qiang], Wang, L.W.[Lin-Wei],
A Self-Regulating Multi-Clutter Suppression Framework for Small Aperture HFSWR Systems,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
High Frequency Surface Wave Radar. BibRef

Luo, Z.F.[Ze-Feng], Li, Z.Z.[Zheng-Zhou], Zhang, C.[Chao], Deng, J.Q.[Jia-Qi], Qin, T.Q.[Tian-Qi],
Low Observable Radar Target Detection Method within Sea Clutter Based on Correlation Estimation,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
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