-
1
-
-
14844339425
-
Image change detection algorithms: A systematic survey
-
R. J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam, "Image change detection algorithms: A systematic survey," IEEE Trans. Image Processing 14, pp. 294-307, 2005.
-
(2005)
IEEE Trans. Image Processing
, vol.14
, pp. 294-307
-
-
Radke, R.J.1
Andra, S.2
Al-Kofahi, O.3
Roysam, B.4
-
2
-
-
35948966064
-
-
Quoted on wikipedia
-
Quoted on wikipedia: http://en.wikiquote.org/wiki/Change.
-
-
-
-
3
-
-
0031374467
-
Subclutter target detection using sequences of thermal infrared multispectral imagery
-
A. Schaum and A. Stocker, "Subclutter target detection using sequences of thermal infrared multispectral imagery," Proc. SPIE 3071, pp. 12-22, 1997.
-
(1997)
Proc. SPIE
, vol.3071
, pp. 12-22
-
-
Schaum, A.1
Stocker, A.2
-
5
-
-
0037371011
-
Change detection in overhead imagery using neural networks
-
C. Clifton, "Change detection in overhead imagery using neural networks," Applied Intelligence 18, pp. 215-234, 2003.
-
(2003)
Applied Intelligence
, vol.18
, pp. 215-234
-
-
Clifton, C.1
-
7
-
-
0033707763
-
Automatic analysis of the difference image for unsupervised change detection
-
L. Bruzzone and D. F. Prieto, "Automatic analysis of the difference image for unsupervised change detection," IEEE Trans. Geoscience and Remote Sensing 38, pp. 1171-1182, 2000.
-
(2000)
IEEE Trans. Geoscience and Remote Sensing
, vol.38
, pp. 1171-1182
-
-
Bruzzone, L.1
Prieto, D.F.2
-
8
-
-
33750600320
-
Markovian fusion approach to robust unsupervised change detection in remotely sensed imagery
-
F. Melgani and Y. Bazi, "Markovian fusion approach to robust unsupervised change detection in remotely sensed imagery," IEEE Geoscience and Remote Sensing Letters 3, pp. 457-461, 2006.
-
(2006)
IEEE Geoscience and Remote Sensing Letters
, vol.3
, pp. 457-461
-
-
Melgani, F.1
Bazi, Y.2
-
9
-
-
0025508756
-
Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
-
I. S. Reed and X. Yu, "Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution," IEEE Trans. Acoustics, Speech, and Signal Processing 38, pp. 1760-1770, 1990.
-
(1990)
IEEE Trans. Acoustics, Speech, and Signal Processing
, vol.38
, pp. 1760-1770
-
-
Reed, I.S.1
Yu, X.2
-
10
-
-
10444268146
-
Hyperspectral change detection and supervised matched filtering based on covariance equalization
-
A. Schaum and A. Stocker, "Hyperspectral change detection and supervised matched filtering based on covariance equalization," Proc. SPIE 5425, pp. 77-90, 2004.
-
(2004)
Proc. SPIE
, vol.5425
, pp. 77-90
-
-
Schaum, A.1
Stocker, A.2
-
12
-
-
0031208638
-
Learning distributions by their density levels: A paradigm for learning without a teacher
-
S. Ben-David and M. Lindenbaum, "Learning distributions by their density levels: A paradigm for learning without a teacher," J. Computer and System Sciences 55, pp. 171-182, 1997.
-
(1997)
J. Computer and System Sciences
, vol.55
, pp. 171-182
-
-
Ben-David, S.1
Lindenbaum, M.2
-
13
-
-
0000487102
-
Estimating the support of a high-dimensional distribution
-
B. Schölkopf, J. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson, "Estimating the support of a high-dimensional distribution," Neural Computation 13, pp. 1443-1471, 2001.
-
(2001)
Neural Computation
, vol.13
, pp. 1443-1471
-
-
Schölkopf, B.1
Platt, J.2
Shawe-Taylor, J.3
Smola, A.J.4
Williamson, R.C.5
-
14
-
-
79955833476
-
Density level detection is classification
-
L. K. Saul, Y. Weiss, and L. Bottou, eds, pp, MIT Press, Cambridge, MA
-
I. Steinwart, D. Hush, and C. Scovel, "Density level detection is classification," in Advances in Neural Information Processing Systems 17, L. K. Saul, Y. Weiss, and L. Bottou, eds., pp. 1337-1344, MIT Press, Cambridge, MA, 2005.
-
(2005)
Advances in Neural Information Processing Systems 17
, pp. 1337-1344
-
-
Steinwart, I.1
Hush, D.2
Scovel, C.3
-
15
-
-
35948959063
-
-
D. Tax and R. Duin, Data domain description by support vectors, in Proc. ESANN99, M. Verleysen, ed., pp. 251-256, D. Facto Press, (Brussels), 1999.
-
D. Tax and R. Duin, "Data domain description by support vectors," in Proc. ESANN99, M. Verleysen, ed., pp. 251-256, D. Facto Press, (Brussels), 1999.
-
-
-
-
16
-
-
27544499740
-
Detecting a malicious executable without prior knowledge of its patterns
-
D. M. Cai, J. Theiler, and M. Gokhale, "Detecting a malicious executable without prior knowledge of its patterns," Proc. SPIE 5812, pp. 1-12, 2005.
-
(2005)
Proc. SPIE
, vol.5812
, pp. 1-12
-
-
Cai, D.M.1
Theiler, J.2
Gokhale, M.3
-
17
-
-
0003684449
-
-
Springer-Verlag, New York
-
T. Hastie, R. Tibshirani, and J. Friedman, Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, New York, 2001.
-
(2001)
Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
18
-
-
1642475063
-
Resampling approach for anomaly detection in multispectral images
-
J. Theiler and D. M. Cai, "Resampling approach for anomaly detection in multispectral images," Proc. SPIE 5093, pp. 230-240, 2003.
-
(2003)
Proc. SPIE
, vol.5093
, pp. 230-240
-
-
Theiler, J.1
Cai, D.M.2
-
19
-
-
0035168125
-
On the statistics of hyperspectral imaging data
-
D. Manolakis, D. Marden, J. Kerekes, and G. Shaw, "On the statistics of hyperspectral imaging data," Proc. SPIE 4381, pp. 308-316, 2001.
-
(2001)
Proc. SPIE
, vol.4381
, pp. 308-316
-
-
Manolakis, D.1
Marden, D.2
Kerekes, J.3
Shaw, G.4
-
20
-
-
1642515081
-
Modeling hyperspectral imaging data
-
D. B. Marden and D. Manolakis, "Modeling hyperspectral imaging data," Proc. SPIE 5093, pp. 253-262, 2003.
-
(2003)
Proc. SPIE
, vol.5093
, pp. 253-262
-
-
Marden, D.B.1
Manolakis, D.2
-
21
-
-
10444280883
-
Using elliptically contoured distributions to model hyperspectral imaging data and generate statistically similar synthetic data
-
D. B. Marden and D. Manolakis, "Using elliptically contoured distributions to model hyperspectral imaging data and generate statistically similar synthetic data," Proc. SPIE 5425, pp. 558-572, 2004.
-
(2004)
Proc. SPIE
, vol.5425
, pp. 558-572
-
-
Marden, D.B.1
Manolakis, D.2
-
22
-
-
0036477310
-
Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction
-
N. R. Harvey, J. Theiler, S. P. Brumby, S. Perkins, J. J. Szymanski, J. J. Bloch, R. B. Porter, M. Galassi, and A. C. Young, "Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction," IEEE Trans. Geosci. and Remote Sens. 40, pp. 393-404, 2002.
-
(2002)
IEEE Trans. Geosci. and Remote Sens
, vol.40
, pp. 393-404
-
-
Harvey, N.R.1
Theiler, J.2
Brumby, S.P.3
Perkins, S.4
Szymanski, J.J.5
Bloch, J.J.6
Porter, R.B.7
Galassi, M.8
Young, A.C.9
-
23
-
-
32044455277
-
Vectorized image segmentation via trixel agglomeration
-
L. Prasad and A. Skourikhine, "Vectorized image segmentation via trixel agglomeration," Pattern Recognition 39, pp. 501-514, 2006.
-
(2006)
Pattern Recognition
, vol.39
, pp. 501-514
-
-
Prasad, L.1
Skourikhine, A.2
-
24
-
-
0030649484
-
Solving the multiple instance problem with axisparallel rectangles
-
T. G. Dietterich, R. H. Lathrop, and T. Lozano-Prez, "Solving the multiple instance problem with axisparallel rectangles," Artificial Intelligence 89, pp. 31-71, 1997.
-
(1997)
Artificial Intelligence
, vol.89
, pp. 31-71
-
-
Dietterich, T.G.1
Lathrop, R.H.2
Lozano-Prez, T.3
-
25
-
-
27544499326
-
Kernel RX: A new nonlinear anomaly detector
-
H. Kwon and N. M. Nasrabadi, "Kernel RX: a new nonlinear anomaly detector," Proc. SPIE 5806, pp. 35-46, 2005.
-
(2005)
Proc. SPIE
, vol.5806
, pp. 35-46
-
-
Kwon, H.1
Nasrabadi, N.M.2
-
26
-
-
84899016906
-
Active learning for anomaly and rare-category detection
-
L. K. Saul, Y. Weiss, and L. Bottou, eds, pp, MIT Press, Cambridge, MA
-
D. Pelleg and A. W. Moore, "Active learning for anomaly and rare-category detection," in Advances in Neural Information Processing Systems 17, L. K. Saul, Y. Weiss, and L. Bottou, eds., pp. 1073-1080, MIT Press, Cambridge, MA, 2005.
-
(2005)
Advances in Neural Information Processing Systems 17
, pp. 1073-1080
-
-
Pelleg, D.1
Moore, A.W.2
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