22.9.2 ATR -- Clutter, Background Issues

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 Abstract. IEEE Top Reference.
WWW Version. 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

Shirvaikar, M.V.[Mukul V.], and Trivedi, M.M.[Mohan M.],
A Neural Network Filter to Detect Small Targets in High-Clutter Backgrounds,
TNN(6), No. 1, January 1995, pp. 252-257. BibRef 9501

Waldman, G., Wootton, J., Hobson, G., Leutkemeyer, K.,
A Normalized Clutter Measure for Images,
CVGIP(42), No. 2, May 1988, pp. 137-156.
WWW Version. 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., Sid-Ahmed, M.A.,
Target Recognition in a Cluttered Scene Using Mathematical Morphology,
PR(29), No. 1, January 1996, pp. 27-49.
WWW Version. 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

French, P.A., Zeidler, J.R., Ku, W.H.,
Enhanced Detectability of Small Objects in Correlated Clutter Using an Improved 2-D Adaptive Lattice Algorithm,
IP(6), No. 3, March 1997, pp. 383-397.
IEEE DOI Link 9703
BibRef

Casasent, D., Shenoy, R.,
Synthetic-Aperture Radar Detection and Clutter Rejection Minace Filters,
PR(30), No. 1, January 1997, pp. 151-161.
WWW Version. 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

Silva, D.M., Abdou, I.E., Warren, R.E.,
Optimum Detection of Small Targets in A Cluttered Background,
OptEng(37), No. 1, January 1998, pp. 83-92. 9802
BibRef

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.
WWW Version. 0011
BibRef
Earlier: A1, A3, Add third Der, S.Z.[Sandor Z.], ICIP99(IV:415-419).
IEEE Abstract. IEEE Top Reference. 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.
WWW Version. 0209
BibRef
Earlier: ICIP00(Vol II: 475-478).
IEEE Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference. 0108
BibRef
Earlier:
Dual-band Passive Infrared Imagery for Automatic Clutter Rejection,
ICIP00(Vol II: 463-466).
IEEE Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference. 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

Chapple, P.B., Bertilone, D.C., Caprari, R.S., Newsam, G.N.,
Stochastic model-based processing for detection of small targets in non-gaussian natural imagery,
IP(10), No. 4, April 2001, pp. 554-564.
IEEE DOI Link 0104
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 Link 0110
BibRef
Earlier:
Adaptive Target Detection Across a Clutter Boundary: GLR and Maximally Invariant Detectors,
ICIP00(Vol I: 681-684).
IEEE Abstract. IEEE Top Reference. 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. IEEE Top Reference. 0501
BibRef

Moisseev, D., Unal, C., Russchenberg, H., Ligthart, L.,
A new method to separate ground clutter and atmospheric reflections in the case of similar doppler velocities,
GeoRS(40), No. 2, February 2002, pp. 239-246.
IEEE Top Reference. 0205
BibRef

Grenander, U.[Ulf], Srivastava, A.[Anuj],
Probability Models for Clutter in Natural Images,
PAMI(23), No. 4, April 2001, pp. 424-429.
IEEE Abstract. IEEE Top Reference.
WWW Version. 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 Abstract. IEEE Top Reference. 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 Version. 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. IEEE Top Reference. 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. IEEE Top Reference. 0501
BibRef

Mele, K.[Katarina], Maver, J.[Jasna],
Recognizing objects on cluttered backgrounds,
PRL(26), No. 10, 15 July 2005, pp. 1512-1524.
WWW Version. 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.
WWW Version. 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 Link 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 Link 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 Link 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 Link 0910
BibRef

Rico-Ramirez, M.A., Cluckie, I.D.,
Classification of Ground Clutter and Anomalous Propagation Using Dual-Polarization Weather Radar,
GeoRS(46), No. 7, July 2008, pp. 1892-1904.
IEEE DOI Link 0806
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 Link
WWW Version. 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 Link 0905
BibRef

Morelle, N.[Nicolas], Testorf, M.E.[Markus E.], Thirion, N.[Nadège], 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 Version. 0905
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 Link 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 Link 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 Link 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 Link 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 Abstract. IEEE Top Reference. 0312
BibRef

Mori, G., Malik, J.,
Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA,
CVPR03(I: 134-141).
IEEE Abstract. IEEE Top Reference. 0307
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 Abstract. IEEE Top Reference. 0008
BibRef

Bruno, M.,
Multiframe Bayesian Tracking of Cluttered Targets with Random Motion,
ICIP00(Vol III: 90-93).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Ffrench, P.A., Zeidler, J.R., Ku, W.H.,
An improved 2-D adaptive lattice filtering algorithm and its application to detection of small objects in correlated clutter,
ICIP94(I: 765-769).
IEEE DOI Link 9411
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 Abstract. IEEE Top Reference. Abstract:
HTML Version. BibRef 9200

Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
ATR -- Multiple Sensors, Multiple Algorithms, Fusion .