-
1
-
-
17644371466
-
Hyperspectral image processing for automatic target detection applications
-
D. G.Manolakis, D.B.Marden, and G. A. Shaw, "Hyperspectral image processing for automatic target detection applications," Lincoln Lab. J., vol. 14, no. 1, pp. 79-116, 2003.
-
(2003)
Lincoln Lab. J.
, vol.14
, Issue.1
, pp. 79-116
-
-
Manolakis, D.G.1
Marden, D.B.2
Shaw, G.A.3
-
2
-
-
85032751277
-
Detection algorithms for hyperspectral imaging applications
-
DOI 10.1109/79.974724
-
D. G. Manolakis and G. A. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 29-43, Jan. 2002. (Pubitemid 34237206)
-
(2002)
IEEE Signal Processing Magazine
, vol.19
, Issue.1
, pp. 29-43
-
-
Manolakis, D.G.1
Shaw, G.2
-
3
-
-
79957470922
-
Sparse representation for target detection in hyperspectral imagery
-
Jun.
-
Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Sparse representation for target detection in hyperspectral imagery," IEEE J. Sel. Topics Signal Process., vol. 5, no. 3, pp. 629-640, Jun. 2011.
-
(2011)
IEEE J. Sel. Topics Signal Process.
, vol.5
, Issue.3
, pp. 629-640
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
4
-
-
77953731179
-
Continuum fusion: A new methodology for creating hyperspectral detection algorithms
-
A. Schaum, "Continuum fusion: A new methodology for creating hyperspectral detection algorithms," Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, pp. 769 502-769 502-5, 2010.
-
(2010)
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
, pp. 769502-7695025
-
-
Schaum, A.1
-
5
-
-
33747584910
-
Realistic matched filter performance prediction for hyperspectral target detection
-
Nov.
-
D. G. Manolakis, "Realistic matched filter performance prediction for hyperspectral target detection," Opt. Eng., vol. 44, no. 11, pp. 116 401-116 401-7, Nov. 2005.
-
(2005)
Opt. Eng.
, vol.44
, Issue.11
, pp. 116401-1164017
-
-
Manolakis, D.G.1
-
7
-
-
0028485933
-
Matched subspace detectors
-
Aug.
-
L. L. Scharf and B. Friedlander, "Matched subspace detectors," IEEE Trans. Signal Process., vol. 42, no. 8, pp. 2146-2157, Aug. 1994.
-
(1994)
IEEE Trans. Signal Process.
, vol.42
, Issue.8
, pp. 2146-2157
-
-
Scharf, L.L.1
Friedlander, B.2
-
8
-
-
0030211709
-
A note on non-Gaussian adaptive array detection and signal parameter estimation
-
C. D. Richmond, "A note on non-Gaussian adaptive array detection and signal parameter estimation," IEEE Signal Process. Lett., vol. 3, no. 8, pp. 251-252, Aug. 1996. (Pubitemid 126522722)
-
(1996)
IEEE Signal Processing Letters
, vol.3
, Issue.8
, pp. 251-252
-
-
Richmond, C.D.1
-
9
-
-
0032658498
-
The CFAR adaptive subspace detector is a scale-invariant GLRT
-
Sep.
-
S. Kraut and L. L. Scharf, "The CFAR adaptive subspace detector is a scale-invariant GLRT," IEEE Trans. Signal Process., vol. 47, no. 9, pp. 2538-2541, Sep. 1999.
-
(1999)
IEEE Trans. Signal Process.
, vol.47
, Issue.9
, pp. 2538-2541
-
-
Kraut, S.1
Scharf, L.L.2
-
10
-
-
0031632649
-
Analysis of an adaptive detection algorithm for nonhomogeneous environments
-
May
-
C. D. Richmond, "Analysis of an adaptive detection algorithm for nonhomogeneous environments," in Proc. 1998 IEEE Int. Conf. Acoustics, Speech and Signal Processing, May 1998, vol. 4, pp. 2005-2008.
-
(1998)
Proc. 1998 IEEE Int. Conf. Acoustics, Speech and Signal Processing
, vol.4
, pp. 2005-2008
-
-
Richmond, C.D.1
-
11
-
-
0000953558
-
Performance of a class of adaptive detection algorithms in nonhomogeneous environments
-
May
-
C. D. Richmond, "Performance of a class of adaptive detection algorithms in nonhomogeneous environments," IEEE Trans. Signal Process., vol. 48, no. 5, pp. 1248-1262, May 2000.
-
(2000)
IEEE Trans. Signal Process.
, vol.48
, Issue.5
, pp. 1248-1262
-
-
Richmond, C.D.1
-
12
-
-
0001447564
-
Performance of the adaptive sidelobe blanker detection algorithm in homogeneous environments
-
May
-
C. D. Richmond, "Performance of the adaptive sidelobe blanker detection algorithm in homogeneous environments," IEEE Trans. Signal Process., vol. 48, no. 5, pp. 1235-1247, May 2000.
-
(2000)
IEEE Trans. Signal Process.
, vol.48
, Issue.5
, pp. 1235-1247
-
-
Richmond, C.D.1
-
13
-
-
84870180490
-
Hyperspectral matched filter with false-alarm mitigation
-
R. DiPietro, D. Manolakis, R. Lockwood, T. Cooley, and J. Jacobson, "Hyperspectral matched filter with false-alarm mitigation," Opt. Eng., vol. 51, p. 016202, 2012.
-
(2012)
Opt. Eng.
, vol.51
, pp. 016202
-
-
Dipietro, R.1
Manolakis, D.2
Lockwood, R.3
Cooley, T.4
Jacobson, J.5
-
14
-
-
84861756685
-
Practical evaluation of max-type detectors for hyperspectral images
-
Apr.
-
P. Bajorski, "Practical evaluation of max-type detectors for hyperspectral images," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 462-469, Apr. 2012.
-
(2012)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens.
, vol.5
, Issue.2
, pp. 462-469
-
-
Bajorski, P.1
-
15
-
-
0000090572
-
Statistics of adaptive nulling and use of the generalized eigenrelation (GER) for modeling inhomogeneities in adaptive processing
-
May
-
C. D. Richmond, "Statistics of adaptive nulling and use of the generalized eigenrelation (GER) for modeling inhomogeneities in adaptive processing," IEEE Trans. Signal Process., vol. 48, no. 5, pp. 1263-1273, May 2000.
-
(2000)
IEEE Trans. Signal Process.
, vol.48
, Issue.5
, pp. 1263-1273
-
-
Richmond, C.D.1
-
16
-
-
84861732641
-
Target detection under misspecified models in hyperspectral images
-
Apr.
-
P. Bajorski, "Target detection under misspecified models in hyperspectral images," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 470-477, Apr. 2012.
-
(2012)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens.
, vol.5
, Issue.2
, pp. 470-477
-
-
Bajorski, P.1
-
17
-
-
35548979581
-
Vectorized adaptive quadrature in MATLAB
-
DOI 10.1016/j.cam.2006.11.021, PII S037704270600700X
-
L. F. Shampine, "Vectorized adaptive quadrature in Matlab," J. Computat. Appl. Math., vol. 211, no. 2, pp. 131-140, Nov. 2008. (Pubitemid 350016632)
-
(2008)
Journal of Computational and Applied Mathematics
, vol.211
, Issue.2
, pp. 131-140
-
-
Shampine, L.F.1
-
19
-
-
33748645760
-
MODTRAN5: 2006 update
-
May SPIE
-
A. Berk, G. P. Anderson, P. K. Acharya, L. S. Bernstein, L. Muratov, J. Lee, M. Fox, S. M. Adler-Golden, J. H. Chetwynd, Jr., M. L. Hoke, R. B. Lockwood, J. A. Gardner, T. W. Cooley, C. C. Borel, P. E. Lewis, and E. P. Shettle, "MODTRAN5: 2006 update," Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, vol. 6233, pp. 62 331F-62 331F-8, May 2006, SPIE.
-
(2006)
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
, vol.6233
-
-
Berk, A.1
Anderson, G.P.2
Acharya, P.K.3
Bernstein, L.S.4
Muratov, L.5
Lee, J.6
Fox, M.7
Adler-Golden, S.M.8
Chetwynd Jr., J.H.9
Hoke, M.L.10
Lockwood, R.B.11
Gardner, J.A.12
Cooley, T.W.13
Borel, C.C.14
Lewis, P.E.15
Shettle, E.P.16
-
20
-
-
0035124109
-
Adaptive subspace detectors
-
DOI 10.1109/78.890324
-
S. Kraut, L. L. Scharf, and L. T. McWhorter, "Adaptive subspace detectors," IEEE Trans. Signal Process., vol. 49, no. 1, pp. 1-16, Jan. 2001. (Pubitemid 32137119)
-
(2001)
IEEE Transactions on Signal Processing
, vol.49
, Issue.1
, pp. 1-16
-
-
Kraut, S.1
Scharf, L.L.2
-
21
-
-
10444280883
-
Using elliptically contoured distributions to model hyperspectral imaging data and generate statistically similar synthetic data
-
Aug. SPIE
-
D. B. Marden and D. G. Manolakis, "Using elliptically contoured distributions to model hyperspectral imaging data and generate statistically similar synthetic data," Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, vol. 5425, p. 558, Aug. 2004, SPIE.
-
(2004)
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
, vol.5425
, pp. 558
-
-
Marden, D.B.1
Manolakis, D.G.2
-
22
-
-
0035392132
-
Hyperspectral subpixel target detection using the linear mixing model
-
DOI 10.1109/36.934072, PII S0196289201054961
-
D.G. Manolakis, C. Siracusa, andG. A. Shaw, "Hyperspectral subpixel target detection using the linear mixing model," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1392-1409, Jul. 2001. (Pubitemid 32732655)
-
(2001)
IEEE Transactions on Geoscience and Remote Sensing
, vol.39
, Issue.7
, pp. 1392-1409
-
-
Manolakis, D.1
Siracusa, C.2
Shaw, G.3
-
23
-
-
0003558943
-
-
Wiley series in probability and mathematical statistics: Probability and mathematical statistics. New York, NY, USA: Wiley
-
R. J. Muirhead, Aspects of Multivariate Statistical Theory, ser. Wiley series in probability and mathematical statistics: Probability and mathematical statistics. New York, NY, USA: Wiley, 1982.
-
(1982)
Aspects of Multivariate Statistical Theory
-
-
Muirhead, R.J.1
-
25
-
-
0001507590
-
Computing the distribution of quadratic forms in normal variables
-
Dec.
-
J. P. Imhof, "Computing the distribution of quadratic forms in normal variables," Biometrika, vol. 48, no. 3/4, pp. 419-426, Dec. 1961.
-
(1961)
Biometrika
, vol.48
, Issue.3-4
, pp. 419-426
-
-
Imhof, J.P.1
-
27
-
-
58549083953
-
Evaluating the density of ratios of noncentral quadratic forms in normal variables
-
Nov.
-
S. Broda and M. S. Paolella, "Evaluating the density of ratios of noncentral quadratic forms in normal variables," Comput. Stat. Data Anal., vol. 53, no. 4, pp. 1264-1270, Nov. 2009.
-
(2009)
Comput. Stat. Data Anal.
, vol.53
, Issue.4
, pp. 1264-1270
-
-
Broda, S.1
Paolella, M.S.2
-
28
-
-
0027591549
-
SEM algorithm and unsupervised statistical segmentation of satellite images
-
DOI 10.1109/36.225529
-
P. Masson and W. Pieczynski, "SEM algorithm and unsupervised statistical segmentation of satellite images," IEEE Trans. Geosci. Remote Sens., vol. 31, no. 3, pp. 618-633, May 1993. (Pubitemid 23697387)
-
(1993)
IEEE Transactions on Geoscience and Remote Sensing
, vol.31
, Issue.3
, pp. 618-633
-
-
Masson Pascale1
Pieczynski Wojciech2
|