-
1
-
-
85032751277
-
Detection algorithms for hyperspectral imaging applications
-
D. Manolakis G. Shaw Detection algorithms for hyperspectral imaging applications IEEE Signal Process. Mag. 19 1 29 43 Jan. 2002
-
(2002)
IEEE Signal Process. Mag.
, vol.19
, Issue.1
, pp. 29-43
-
-
Manolakis, D.1
Shaw, G.2
-
2
-
-
0033719885
-
Constrained subpixel target detection for remotely sensed imagery
-
C.-I. Chang D. C. Heinz Constrained subpixel target detection for remotely sensed imagery IEEE Trans. Geosci. Remote Sens. 38 3 1144 1159 May 2000
-
(2000)
IEEE Trans. Geosci. Remote Sens.
, vol.38
, Issue.3
, pp. 1144-1159
-
-
Chang, C.-I.1
Heinz, D.C.2
-
3
-
-
17644371466
-
Hyperspectral image processing for automatic target detection applications
-
D. Manolakis D. Marden G. A. Shaw Hyperspectral image processing for automatic target detection applications Lincoln Lab. J. 14 1 79 116 2003
-
(2003)
Lincoln Lab. J.
, vol.14
, Issue.1
, pp. 79-116
-
-
Manolakis, D.1
Marden, D.2
Shaw, G.A.3
-
5
-
-
48849090040
-
Improvement of target detection methods by multiway filtering
-
N. Renard S. Bourennane Improvement of target detection methods by multiway filtering IEEE Trans. Geosci. Remote Sens. 46 8 2407 2417 Aug. 2008
-
(2008)
IEEE Trans. Geosci. Remote Sens.
, vol.46
, Issue.8
, pp. 2407-2417
-
-
Renard, N.1
Bourennane, S.2
-
8
-
-
0036613261
-
Anomaly detection and classification for hyperspectral imagery
-
C.-I. Chang S.-S. Chiang Anomaly detection and classification for hyperspectral imagery IEEE Trans. Geosci. Remote Sens. 40 6 1314 1325 Jun. 2002
-
(2002)
IEEE Trans. Geosci. Remote Sens.
, vol.40
, Issue.6
, pp. 1314-1325
-
-
Chang, C.-I.1
Chiang, S.-S.2
-
9
-
-
0035392091
-
Unsupervised target detection in hyperspectral images using projection pursuit
-
S.-S. Chiang C.-I. Chang I. W. Ginsberg Unsupervised target detection in hyperspectral images using projection pursuit IEEE Trans. Geosci. Remote Sens. 39 7 1380 1391 Jul. 2001
-
(2001)
IEEE Trans. Geosci. Remote Sens.
, vol.39
, Issue.7
, pp. 1380-1391
-
-
Chiang, S.-S.1
Chang, C.-I.2
Ginsberg, I.W.3
-
10
-
-
13144293109
-
Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery
-
H. Kwon N. M. Nasrabadi Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery IEEE Trans. Geosci. Remote Sens. 43 2 388 397 Feb. 2005
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, Issue.2
, pp. 388-397
-
-
Kwon, H.1
Nasrabadi, N.M.2
-
11
-
-
36348959745
-
A time-efficient method for anomaly detection in hyperspectral images
-
O. Duran M. Petrou A time-efficient method for anomaly detection in hyperspectral images IEEE Trans. Geosci. Remote Sens. 45 12 3894 3904 Dec. 2007
-
(2007)
IEEE Trans. Geosci. Remote Sens.
, vol.45
, Issue.12
, pp. 3894-3904
-
-
Duran, O.1
Petrou, M.2
-
12
-
-
34247549367
-
Anomaly detection based on wavelet domain GARCH random field modeling
-
A. Noiboar I. Cohen Anomaly detection based on wavelet domain GARCH random field modeling IEEE Trans. Geosci. Remote Sens. 45 5 1361 1373 May 2007
-
(2007)
IEEE Trans. Geosci. Remote Sens.
, vol.45
, Issue.5
, pp. 1361-1373
-
-
Noiboar, A.1
Cohen, I.2
-
13
-
-
13144306114
-
A cluster-based approach for detecting man-made objects and changes in imagery
-
M. J. Carlotte A cluster-based approach for detecting man-made objects and changes in imagery IEEE Trans. Geosci. Remote Sens. 43 2 374 387 Feb. 2005
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, Issue.2
, pp. 374-387
-
-
Carlotte, M.J.1
-
14
-
-
15844423011
-
Anomaly detection based on the statistics of hyperspectral imagery
-
S. Catterall Anomaly detection based on the statistics of hyperspectral imagery Proc. SPIE Conf. Imagery Spectroscopy X 5546 171 178 Proc. SPIE Conf. Imagery Spectroscopy X 2004
-
(2004)
, vol.5546
, pp. 171-178
-
-
Catterall, S.1
-
15
-
-
0025508756
-
Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
-
I. S. Reed X. Yu Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution IEEE Trans. Acoust., Speech, Signal Process. 38 10 1760 1770 Oct. 1990
-
(1990)
IEEE Trans. Acoust., Speech, Signal Process.
, vol.38
, Issue.10
, pp. 1760-1770
-
-
Reed, I.S.1
Yu, X.2
-
16
-
-
33646762000
-
Whitening spatial correlation filtering for hyperspectral anomaly detection
-
J.-M. Gaucel M. Guillaume S. Bourennane Whitening spatial correlation filtering for hyperspectral anomaly detection Proc. Int. Conf. Acoust., Speech, Signal Process. 333 336 Proc. Int. Conf. Acoust., Speech, Signal Process. 2005
-
(2005)
, pp. 333-336
-
-
Gaucel, J.-M.1
Guillaume, M.2
Bourennane, S.3
-
17
-
-
69949151812
-
Reduction of false alarms caused by background boundaries in real time subspace RX anomaly detection
-
A. V. Kanaev E. Allman J. Murray-Krezan Reduction of false alarms caused by background boundaries in real time subspace RX anomaly detection Proc. SPIEAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV 7334 733405-1 733405-11 Proc. SPIEAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV 2009-Apr.
-
(2009)
, vol.7334
, pp. 733405-1-733405-11
-
-
Kanaev, A.V.1
Allman, E.2
Murray-Krezan, J.3
-
18
-
-
77149128951
-
A comparison of multivariate outlier detection methods for finding hyperspectral anomalies
-
T. E. Smetek K. W. Bauer A comparison of multivariate outlier detection methods for finding hyperspectral anomalies Mil. Oper. Res. 13 4 19 44 2008
-
(2008)
Mil. Oper. Res.
, vol.13
, Issue.4
, pp. 19-44
-
-
Smetek, T.E.1
Bauer, K.W.2
-
19
-
-
85177012619
-
Finding hyperspectral anomalies using multivariate outlier detection
-
T. E. Smetek K. W. Bauer Finding hyperspectral anomalies using multivariate outlier detection Proc. IEEE Aerosp. Conf. 1 24 Proc. IEEE Aerosp. Conf. 2007-Mar.
-
(2007)
, pp. 1-24
-
-
Smetek, T.E.1
Bauer, K.W.2
-
20
-
-
77958572610
-
Improved hyperspectral image processing algorithm testing using synthetic imagery and factorial designed experiments
-
J. P. Bellucci T. E. Smetek K. W. Bauer Improved hyperspectral image processing algorithm testing using synthetic imagery and factorial designed experiments IEEE Trans. Geosci. Remote Sens. 48 3 1211 1223 Mar. 2010
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.3
, pp. 1211-1223
-
-
Bellucci, J.P.1
Smetek, T.E.2
Bauer, K.W.3
-
21
-
-
85177018371
-
-
Air Univ. OH, Wright-Patterson AFB
-
T. E. Smetek Hyperspectral improved anomaly detection and signature matching methods 2007 Air Univ. OH, Wright-Patterson AFB
-
(2007)
-
-
Smetek, T.E.1
-
22
-
-
35949003645
-
Random sampling statistical analysis for adaptive target-scale-invariant hyperspectral anomaly detection
-
J. M. Romano D. Rosario Random sampling statistical analysis for adaptive target-scale-invariant hyperspectral anomaly detection Proc. SPIE 6565 656522 May 2007
-
(2007)
Proc. SPIE
, vol.6565
, pp. 656522
-
-
Romano, J.M.1
Rosario, D.2
-
23
-
-
0037189770
-
Identifying multivariate discordant observation: A computer-intensive approach
-
H. Viljoen J. H. Venter Identifying multivariate discordant observation: A computer-intensive approach Comput. Statist. Data Anal. 40 1 159 172 Jul. 2002
-
(2002)
Comput. Statist. Data Anal.
, vol.40
, Issue.1
, pp. 159-172
-
-
Viljoen, H.1
Venter, J.H.2
-
24
-
-
0037411806
-
Exploring process data with the use of robust outlier detection algorithms
-
L. H. Chiang R. J. Pell M. B. Seasholtz Exploring process data with the use of robust outlier detection algorithms J. Process Control 13 5 437 449 Aug. 2003
-
(2003)
J. Process Control
, vol.13
, Issue.5
, pp. 437-449
-
-
Chiang, L.H.1
Pell, R.J.2
Seasholtz, M.B.3
-
25
-
-
1542742610
-
The masking breakdown point of multivariate outlier identification rules
-
C. Becker U. Gather The masking breakdown point of multivariate outlier identification rules J. Amer. Stat. Assoc. 94 447 947 955 Sep. 1999
-
(1999)
J. Amer. Stat. Assoc.
, vol.94
, Issue.447
, pp. 947-955
-
-
Becker, C.1
Gather, U.2
-
26
-
-
0034282347
-
BACON: Blocked adaptive computationally efficient outlier nominators
-
N. Billor A. S. Hadi P. F. Velleman BACON: Blocked adaptive computationally efficient outlier nominators Comput. Statist. Data Anal. 34 3 279 298 Sep. 2000
-
(2000)
Comput. Statist. Data Anal.
, vol.34
, Issue.3
, pp. 279-298
-
-
Billor, N.1
Hadi, A.S.2
Velleman, P.F.3
-
27
-
-
0001556356
-
Identifying multiple outliers in multivariate data
-
A. S. Hadi Identifying multiple outliers in multivariate data J. R. Stat. Soc., Ser. B 54 3 761 771 1992
-
(1992)
J. R. Stat. Soc., Ser. B
, vol.54
, Issue.3
, pp. 761-771
-
-
Hadi, A.S.1
-
28
-
-
33748640868
-
Recent Adavaces in Hyperspectral Signal and Image Processing
-
Pixel purity index-based algorithm to unmix hyperspectral data Res. Signpost India, Trivandrum
-
F. Chaudhry C. Wu W. Liu C.-I. Chang A. Plaza Recent Adavaces in Hyperspectral Signal and Image Processing 2006 Res. Signpost India, Trivandrum Pixel purity index-based algorithm to unmix hyperspectral data
-
(2006)
-
-
Chaudhry, F.1
Wu, C.2
Liu, W.3
Chang, C.-I.4
Plaza, A.5
-
29
-
-
85177006875
-
The civil air patrol's ARCHER hyperspectral detection system
-
W. Kendall The civil air patrol's ARCHER hyperspectral detection system Proc. Specialty Group Camouflage, Concealment, Deception, Mil. Sens. Symp. 17 28 Proc. Specialty Group Camouflage, Concealment, Deception, Mil. Sens. Symp. 2005
-
(2005)
, pp. 17-28
-
-
Kendall, W.1
-
30
-
-
0035305896
-
Real-time processing algorithms for target detection and classification in hyperspectral imagery
-
C.-I. Chang H. Ren S.-S. Chiang Real-time processing algorithms for target detection and classification in hyperspectral imagery IEEE Trans. Geosci. Remote Sens. 39 4 760 768 Apr. 2001
-
(2001)
IEEE Trans. Geosci. Remote Sens.
, vol.39
, Issue.4
, pp. 760-768
-
-
Chang, C.-I.1
Ren, H.2
Chiang, S.-S.3
-
31
-
-
85177016344
-
A remedy for nonstationarity in background transition regions for real time hyperspectral detection
-
A. P. Schaum A remedy for nonstationarity in background transition regions for real time hyperspectral detection Proc. IEEE Aerosp. Conf. 1 9 Proc. IEEE Aerosp. Conf. 2006-Mar.-411
-
(2006)
, pp. 1-9
-
-
Schaum, A.P.1
-
32
-
-
0004236492
-
Matrix Computations
-
2nd Johns Hopkins Univ. Press MD, Baltimore
-
G. H. Golub G. F. Van Loan Matrix Computations 2nd 1989 Johns Hopkins Univ. Press MD, Baltimore
-
(1989)
-
-
Golub, G.H.1
Van Loan, G.F.2
-
33
-
-
85177015962
-
A systolic array algorithm and architecture of adaptive spatial filters for FLIR target detection
-
C.-I. Chang M. L. G. Althouse A systolic array algorithm and architecture of adaptive spatial filters for FLIR target detection Proc. IEEE Workshop Vis. Signal Process. Commun. 110 115 Proc. IEEE Workshop Vis. Signal Process. Commun. Hsinchu Taiwan 1991-Jun.-67
-
(1991)
, pp. 110-115
-
-
Chang, C.-I.1
Althouse, M.L.G.2
-
34
-
-
15944406786
-
Optimal linear unmixing for hyperspectral image analysis
-
Q. Du Optimal linear unmixing for hyperspectral image analysis Proc. IEEE IGARSS 5 3219 3221 Proc. IEEE IGARSS 2004
-
(2004)
, vol.5
, pp. 3219-3221
-
-
Du, Q.1
-
35
-
-
0028467206
-
Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
-
J. C. Harsanyi C.-I. Chang Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach IEEE Trans. Geosci. Remote Sens. 32 4 779 785 Jul. 1994
-
(1994)
IEEE Trans. Geosci. Remote Sens.
, vol.32
, Issue.4
, pp. 779-785
-
-
Harsanyi, J.C.1
Chang, C.-I.2
-
36
-
-
26844553674
-
The civil air patrol ARCHER hyperspectral sensor system
-
B. Stevenson R. O'Connor W. Kendall A. Stocker W. Schaff R. Holasek D. Even D. Alexa J. Salvador M. Eismann R. Mack P. Kee S. Harris B. Karch J. Kershenstein The civil air patrol ARCHER hyperspectral sensor system Proc. SPIEAirborne Intelligence, Surveillance, Reconnaissance Systems and Applications II 5787 17 28 Proc. SPIEAirborne Intelligence, Surveillance, Reconnaissance Systems and Applications II 2005-Jun.
-
(2005)
, vol.5787
, pp. 17-28
-
-
Stevenson, B.1
O'Connor, R.2
Kendall, W.3
Stocker, A.4
Schaff, W.5
Holasek, R.6
Even, D.7
Alexa, D.8
Salvador, J.9
Eismann, M.10
Mack, R.11
Kee, P.12
Harris, S.13
Karch, B.14
Kershenstein, J.15
|