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
BibRef
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
BibRef
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
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
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
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
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
BibRef
Zhang, L.[Le],
Xue, A.[Anke],
Zhao, X.D.[Xiao-Dong],
Xu, S.W.[Shu-Wen],
Mao, K.C.[Ke-Cheng],
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
Wang, Q.[Qiang],
Xue, B.[Bin],
Hu, X.W.[Xiao-Wei],
Wu, G.[Guangen],
Zhao, W.[Weihu],
Robust Space-Time Joint Sparse Processing Method with Airborne Active
Array for Severely Inhomogeneous Clutter Suppression,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Zou, B.[Bo],
Wang, X.[Xin],
Feng, W.[Weike],
Zhu, H.[Hangui],
Lu, F.[Fuyu],
DU-CG-STAP Method Based on Sparse Recovery and Unsupervised Learning
for Airborne Radar Clutter Suppression,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Liu, C.[Cheng],
Wang, T.[Tong],
Zhang, S.G.[Shu-Guang],
Ren, B.[Bing],
A Clutter Suppression Algorithm via Weighted L_2-norm Penalty for
Airborne Radar,
SPLetters(29), 2022, pp. 1522-1525.
IEEE DOI
2208
Clutter, Signal processing algorithms,
Computational complexity, Approximation algorithms, Training,
weighted penalty
BibRef
Wang, J.P.[Ji-Peng],
Wang, J.[Jun],
Zuo, L.[Luo],
Guo, S.[Shuai],
Zhao, D.W.[Da-Wei],
Airborne Passive Bistatic Radar Clutter Suppression Algorithm Based
on Root Off-Grid Sparse Bayesian Learning,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Wang, Z.H.[Zhi-Hao],
Chen, W.[Wei],
Zhang, T.F.[Tian-Fu],
Xing, M.D.[Meng-Dao],
Wang, Y.L.[Yong-Liang],
Improved Dimension-Reduced Structures of 3D-STAP on Nonstationary
Clutter Suppression for Space-Based Early Warning Radar,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Liu, K.[Kun],
Wang, T.[Tong],
Wu, J.X.[Jian-Xin],
Liu, C.[Cheng],
Cui, W.C.[Wei-Chen],
On the Efficient Implementation of Sparse Bayesian Learning-Based
STAP Algorithms,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Liang, X.L.[Xue-Ling],
Chen, B.[Bo],
Chen, W.C.[Wen-Chao],
Wang, P.H.[Peng-Hui],
Liu, H.W.[Hong-Wei],
Unsupervised Radar Target Detection under Complex Clutter Background
Based on Mixture Variational Autoencoder,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Zhang, C.X.[Chen-Xi],
Xu, Y.S.[Yi-Shi],
Chen, W.C.[Wen-Chao],
Chen, B.[Bo],
Gao, C.[Chang],
Liu, H.W.[Hong-Wei],
IfCMD: A Novel Method for Radar Target Detection under Complex
Clutter Backgrounds,
RS(16), No. 12, 2024, pp. 2199.
DOI Link
2406
BibRef
Wang, T.[Tao],
Zhang, L.[Ling],
Li, G.[Gangsheng],
Shipborne HFSWR Target Detection in Clutter Regions Based on
Multi-Frame TFI Correlation,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
High-frequency surface wave radar for marine monitoring.
BibRef
Liu, J.[Jing],
Liao, G.S.[Gui-Sheng],
Xu, J.W.[Jing-Wei],
Zhu, S.Q.[Sheng-Qi],
Juwono, F.H.[Filbert H.],
Zeng, C.[Cao],
Autoencoder Neural Network-Based STAP Algorithm for Airborne Radar
with Inadequate Training Samples,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Blomerus, N.[Nicholas],
Cilliers, J.[Jacques],
Nel, W.[Willie],
Blasch, E.[Erik],
de Villiers, P.[Pieter],
Feedback-Assisted Automatic Target and Clutter Discrimination Using a
Bayesian Convolutional Neural Network for Improved Explainability in
SAR Applications,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Liu, Z.X.[Zhi-Xin],
Zhu, S.Q.[Sheng-Qi],
Xu, J.W.[Jing-Wei],
Lan, L.[Lan],
He, X.[Xiongpeng],
Li, X.[Ximin],
Cooperated Moving Target Detection Approach for PA-FDA Dual-Mode
Radar in Range-Ambiguous Clutter,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Yang, L.[Liru],
Liu, Y.X.[Yong-Xiang],
Yang, W.[Wei],
Su, X.L.[Xiao-Long],
Shen, Q.[Qinmu],
A Clutter Parameter Estimation Method Based on Origin Moment
Derivation,
RS(15), No. 6, 2023, pp. 1551.
DOI Link
2304
BibRef
Liu, J.[Jing],
Liao, G.S.[Gui-Sheng],
Xu, J.W.[Jing-Wei],
Zhu, S.Q.[Sheng-Qi],
Zeng, C.[Cao],
Juwono, F.H.[Filbert H.],
Unsupervised Affinity Propagation Clustering Based Clutter
Suppression and Target Detection Algorithm for Non-Side-Looking
Airborne Radar,
RS(15), No. 8, 2023, pp. 2077.
DOI Link
2305
BibRef
Ren, B.[Bing],
Wang, T.[Tong],
A Novel Fast Sparse Bayesian Learning STAP Algorithm for Conformal
Array Radar,
RS(15), No. 11, 2023, pp. 2824.
DOI Link
2306
Space-time adaptive processing, clutter supression.
BibRef
Kang, N.[Naixin],
Shang, Z.[Zheran],
Liu, W.J.[Wei-Jian],
Huang, X.T.[Xiao-Tao],
Clutter Covariance Matrix Estimation for Radar Adaptive Detection
Based on a Complex-Valued Convolutional Neural Network,
RS(15), No. 22, 2023, pp. 5367.
DOI Link
2311
BibRef
Zhu, J.K.[Jin-Kun],
Li, W.[Wei],
Wong, K.K.[Kai-Kit],
Jin, T.[Tian],
An, K.[Kang],
Waveform Design of DFRC System for Target Detection in Clutter
Environment,
SPLetters(30), 2023, pp. 1517-1521.
IEEE DOI
2311
BibRef
Radosavljevic, Z.[Zvonko],
Ivkovic, D.[Dejan],
Kovacevic, B.[Branko],
ITS Efficiency Analysis for Multi-Target Tracking in a Clutter
Environment,
RS(16), No. 8, 2024, pp. 1471.
DOI Link
2405
BibRef
Wang, D.[Dahu],
Liu, C.[Chang],
Wang, C.[Chao],
An Advanced Scheme for Radar Clutter Suppression Scheme Based on
Blind Source Separation,
RS(16), No. 9, 2024, pp. 1544.
DOI Link
2405
BibRef
Zhang, X.Y.[Xin-Ying],
Wang, T.[Tong],
Wang, D.[Degen],
On Efficient Maximum Likelihood Algorithm for Clutter Suppression,
SPLetters(31), 2024, pp. 1399-1403.
IEEE DOI
2405
Signal processing algorithms, Clutter, Vectors,
Covariance matrices, Signal to noise ratio, Optimization,
off-grid
BibRef
Zou, R.M.[Run-Ming],
Cheng, Y.Q.[Yong-Qiang],
Wu, H.[Hao],
Yang, Z.[Zheng],
Hua, X.Q.[Xiao-Qiang],
Wu, H.J.[Han-Jie],
A Steering-Vector-Based Matrix Information Geometry Method for
Space-Time Adaptive Detection in Heterogeneous Environments,
RS(16), No. 12, 2024, pp. 2208.
DOI Link
2406
detect low-altitude, weak targets
BibRef
Ye, X.Y.[Xu-Yuan],
Du, C.[Chuan],
Integrated Multi-Scale Aircraft Detection and Recognition with
Scattering Point Intensity Adaptiveness in Complex Background Clutter
SAR Images,
RS(16), No. 13, 2024, pp. 2471.
DOI Link
2407
BibRef
Wei, H.[Hui],
Xiao, J.W.[Jin-Wen],
A shape-based object class detection model using local
scale-invariant fragment feature,
ICIP14(5941-5945)
IEEE DOI
1502
Clutter
BibRef
Eldar, Y.C.,
Levi, R.,
Cohen, A.,
Clutter Removal in Sub-Nyquist Radar,
SPLetters(22), No. 2, February 2015, pp. 177-181.
IEEE DOI
1410
Doppler radar
BibRef
Cohen, D.,
Eldar, Y.C.,
Sub-Nyquist Radar Systems: Temporal, Spectral, and Spatial
Compression,
SPMag(35), No. 6, November 2018, pp. 35-58.
IEEE DOI
1812
ground penetrating radar, object detection, radar detection,
radar signal processing, radar tracking, signal sampling,
MIMO communication
BibRef
SushmaLeela, T.,
Chandrakanth, R.,
Saibaba, J.,
Varadan, G.,
Mohan,
Mean-shift based object detection and clustering from high resolution
remote sensing imagery,
NCVPRIPG13(1-4)
IEEE DOI
1408
clutter
BibRef
Macák, J.[Jan],
Drbohlav, O.[Ondrej],
Towards Learning Hierarchical Compositional Models in the Presence of
Clutter,
CIAP13(I:532-541).
Springer DOI
1311
BibRef
Liu, B.[Bin],
Kong, L.J.[Ling-Jiang],
Yang, J.Y.[Jian-Yu],
Jia, S.G.[Shi-Gong],
Performance Analysis of Non Coherent CFAR Detection Based on
Goodness-of-Fit Tests in Different Clutter Environments,
CISP09(1-4).
IEEE DOI
0910
BibRef
Matalkah, G.M.[Ghaith M.],
Sabatier, J.M.[James M.],
Matalgah, M.M.[Mustafa M.],
A generalized likelihood ratio test for detecting targets in
multiple-band spectral images with improper complex Gaussian noise,
ICIP08(1856-1859).
IEEE DOI
0810
BibRef
Abu-Naser, A.,
Galatsanos, N.P.,
Wernick, M.N.,
Generalized Likelihood Ratio Test Based Algorithms for Object
Recognition in Photon-Limited Images,
ICIP05(III: 525-528).
IEEE DOI
0512
BibRef
Karali, E.,
Loudos, G.,
Sakelios, N.,
Nikita, K.S.,
Giokaris, N.,
Scatter Correction Techniques in High Resolution Detectors Based on
Pspmts and Scintillator Arrays: An Evaluation Study,
ICIP05(III: 589-592).
IEEE DOI
0512
BibRef
Acito, N.,
Corsini, G.,
Diani, M.,
Pennucci, G.,
Experimental Performance Analysis of Clutter Removal Techniques in IR
Images,
ICIP05(III: 561-564).
IEEE DOI
0512
BibRef
David, P.[Philip],
DeMenthon, D.F.[Daniel F.],
Object Recognition in High Clutter Images Using Line Features,
ICCV05(II: 1581-1588).
IEEE DOI
0510
BibRef
Young, S.S.,
Nasrobadi, N.M.,
Sournekh, M.,
Clutter rejection in FLIR imagery using spatially-varying adaptive
filtering,
ICIP03(I: 837-840).
IEEE DOI
0312
BibRef
Steger, C.T.[Carsten T.],
Occlusion, Clutter, and Illumination Invariant Object Recognition,
PCV02(A: 345).
0305
BibRef
Namuduri, K.,
Bouyoucef, K.,
Kaplan, L.,
Image Metrics for Clutter Characterization,
ICIP00(Vol II: 467-470).
IEEE DOI
0008
BibRef
Noah, P.V.,
Noah, M.A.,
Schroeder, J.,
Chernick, J.,
Background Characterization Techniques for Target Detection
Using Scene Metrics and Pattern Recognition,
PESIPS93(XX-YY).
BibRef
9300
Sridhar, S., and
Healey, G.,
Point Target Detection in Spatially Varying Clutter,
WACV92(232-239).
IEEE DOI Abstract:
HTML Version.
BibRef
9200
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Sea Clutter, Sea Surface Effects .