-
1
-
-
17644371466
-
Hyperspectral image processing for automatic target detection applications
-
D. Manolakis, D. 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.1
Marden, D.2
Shaw, G.A.3
-
2
-
-
85032751277
-
Detection algorithms for hyperspectral imaging applications
-
Jan.
-
D.Manolakis and G. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 29-43, Jan. 2002.
-
(2002)
IEEE Signal Process. Mag.
, vol.19
, Issue.1
, pp. 29-43
-
-
Manolakis, D.1
Shaw, G.2
-
3
-
-
12844252952
-
Spectral imaging for remote sensing
-
G. A. Shaw and H. K. Burke, "Spectral imaging for remote sensing," Lincoln Lab. J., vol. 14, no. 1, pp. 3-28, 2003.
-
(2003)
Lincoln Lab. J.
, vol.14
, Issue.1
, pp. 3-28
-
-
Shaw, G.A.1
Burke, H.K.2
-
4
-
-
10044294022
-
Mine detection experiments using hyperspectral sensors
-
Orlando, FL, USA
-
E. M. Winter et al., "Mine detection experiments using hyperspectral sensors," in Proc. SPIE Int. Soc. Opt. Eng., Orlando, FL, USA, 2004, pp. 1035-1041.
-
(2004)
Proc. SPIE Int. Soc. Opt. Eng.
, pp. 1035-1041
-
-
Winter, E.M.1
-
5
-
-
66249130979
-
Automated hyperspectral cueing for civilian search and rescue
-
Jun.
-
M. T. Eismann, A. D. Stocker, and N. M. Nasrabadi, "Automated hyperspectral cueing for civilian search and rescue," Proc. IEEE, vol. 97, no. 6, pp. 1031-1055, Jun. 2009.
-
(2009)
Proc. IEEE
, vol.97
, Issue.6
, pp. 1031-1055
-
-
Eismann, M.T.1
Stocker, A.D.2
Nasrabadi, N.M.3
-
6
-
-
84872512381
-
False-alarm characterization in hyperspectral gasdetection applications
-
San Diego, CA, USA
-
R. S. DiPietro, E. Truslow, D. G. Manolakis, S. E. Golowich, and R. B. Lockwood, "False-alarm characterization in hyperspectral gasdetection applications," in Proc. SPIE Int. Soc. Opt. Eng., San Diego, CA, USA, 2012, p. 85150I.
-
(2012)
Proc. SPIE Int. Soc. Opt. Eng.
, pp. 85150
-
-
Dipietro, R.S.1
Truslow, E.2
Manolakis, D.G.3
Golowich, S.E.4
Lockwood, R.B.5
-
7
-
-
0026680976
-
A cfar adaptive matched filter detector
-
Jan.
-
F. C. Robey, D. R. Fuhrmann, E. J. Kelly, and R. Nitzberg, "A CFAR adaptive matched filter detector," IEEE Trans. Aerosp. Electron. Syst., vol. 28, no. 1, pp. 208-218, Jan. 1992.
-
(1992)
IEEE Trans. Aerosp. Electron. Syst.
, vol.28
, Issue.1
, pp. 208-218
-
-
Robey, F.C.1
Fuhrmann, D.R.2
Kelly, E.J.3
Nitzberg, R.4
-
8
-
-
0001744176
-
A new cfar detection test for radar
-
Oct.
-
W. Chen and I. S. Reed, "A new CFAR detection test for radar," Digital Signal Process., vol. 1, no. 4, pp. 198-214, Oct. 1991.
-
(1991)
Digital Signal Process.
, vol.1
, Issue.4
, pp. 198-214
-
-
Chen, W.1
Reed, I.S.2
-
9
-
-
69949179956
-
Is there a best hyperspectral detection algorithm?
-
D. Manolakis, R. Lockwood, T. Cooley, and J. Jacobson, "Is there a best hyperspectral detection algorithm?," in Proc. SPIE, Orlando, USA, 2009, Art. ID. 733402.
-
(2009)
Proc. SPIE, Orlando, USA
-
-
Manolakis, D.1
Lockwood, R.2
Cooley, T.3
Jacobson, J.4
-
10
-
-
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
-
11
-
-
0035124109
-
Adaptive subspace detectors
-
Jan.
-
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.
-
(2001)
IEEE Trans. Signal Process.
, vol.49
, Issue.1
, pp. 1-16
-
-
Kraut, S.1
Scharf, L.L.2
McWhorter, L.T.3
-
12
-
-
77955682014
-
A tutorial overview of anomaly detection in hyperspectral images
-
Jul.
-
S. Matteoli, M. Diani, and G. Corsini, "A tutorial overview of anomaly detection in hyperspectral images," IEEE Aerosp. Electron. Syst. Mag., vol. 25, no. 7, pp. 5-28, Jul. 2010.
-
(2010)
IEEE Aerosp. Electron. Syst. Mag.
, vol.25
, Issue.7
, pp. 5-28
-
-
Matteoli, S.1
Diani, M.2
Corsini, G.3
-
13
-
-
0030617350
-
Mapping the distribution of mine tailings in the Couer d'Alene River valley, Idaho, through the use of a constrained energy minimization technique
-
Jan.
-
W. H. Farrand and J. C. Harsanyi, "Mapping the distribution of mine tailings in the Couer d'Alene River valley, Idaho, through the use of a constrained energy minimization technique," Remote Sens. Environ., vol. 59, no. 1, pp. 64-76, Jan. 1997.
-
(1997)
Remote Sens. Environ.
, vol.59
, Issue.1
, pp. 64-76
-
-
Farrand, W.H.1
Harsanyi, J.C.2
-
14
-
-
0003954289
-
Detection and classification of subpixel spectral signatures in hyperspectral image sequences
-
Univ. Maryland Baltimore County, Baltimore, MD, USA
-
J. C. Harsanyi, "Detection and classification of subpixel spectral signatures in hyperspectral image sequences," Ph.D. dissertation, Univ. Maryland Baltimore County, Baltimore, MD, USA, 1993.
-
(1993)
Ph.D. Dissertation
-
-
Harsanyi, J.C.1
-
15
-
-
0027338791
-
The spectral image processing system (sips)-interactive visualization and analysis of imaging spectrometer data
-
May/Jun.
-
F. A. Kruse , "The Spectral Image Processing System (SIPS)-Interactive visualization and analysis of imaging spectrometer data," Remote Sens. Environ., vol. 44, no. 2/3, pp. 145-163, May/Jun. 1993.
-
(1993)
Remote Sens. Environ.
, vol.44
, Issue.2-3
, pp. 145-163
-
-
Kruse, F.A.1
-
16
-
-
0034248782
-
An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis
-
Aug.
-
C.-I. Chang, "An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis," IEEE Trans. Inf. Theory, vol. 46, no. 5, pp. 1927-1932, Aug. 2000.
-
(2000)
IEEE Trans. Inf. Theory
, vol.46
, Issue.5
, pp. 1927-1932
-
-
Chang, C.-I.1
-
17
-
-
0042819772
-
A comparative study for orthogonal subspace projection and constrained energy minimization
-
Jun.
-
Q. Du, H. Ren, and C.-I. Chang, "A comparative study for orthogonal subspace projection and constrained energy minimization," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 6, pp. 1525-1529, Jun. 2003.
-
(2003)
IEEE Trans. Geosci. Remote Sens.
, vol.41
, Issue.6
, pp. 1525-1529
-
-
Du, Q.1
Ren, H.2
Chang, C.-I.3
-
18
-
-
0028467206
-
Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
-
Jul.
-
J. C. Harsanyi and C.-I. Chang, "Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach," IEEE Trans. Geosci. Remote Sens., vol. 32, no. 4, pp. 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
-
19
-
-
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
-
20
-
-
79959708449
-
Simultaneous joint sparsity model for target detection in hyperspectral imagery
-
Jul.
-
Y. Chen, N. M. Nasrabadi, and T. D. Tran, "Simultaneous joint sparsity model for target detection in hyperspectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 676-680, Jul. 2011.
-
(2011)
IEEE Geosci. Remote Sens. Lett.
, vol.8
, Issue.4
, pp. 676-680
-
-
Chen, Y.1
Nasrabadi, N.M.2
Tran, T.D.3
-
21
-
-
59749104367
-
From sparse solutions of systems of equations to sparse modeling of signals and images
-
A. M. Bruckstein, D. L. Donoho, and M. Elad, "From sparse solutions of systems of equations to sparse modeling of signals and images," Siam Rev., vol. 51, no. 1, pp. 34-81, 2009.
-
(2009)
Siam Rev.
, vol.51
, Issue.1
, pp. 34-81
-
-
Bruckstein, A.M.1
Donoho, D.L.2
Elad, M.3
-
22
-
-
33744726231
-
Constrained band selection for hyperspectral imagery
-
Jun.
-
C.-I. Chang and S. Wang, "Constrained band selection for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1575-1585, Jun. 2006.
-
(2006)
IEEE Trans. Geosci. Remote Sens.
, vol.44
, Issue.6
, pp. 1575-1585
-
-
Chang, C.-I.1
Wang, S.2
-
23
-
-
1842481516
-
Estimation of number of spectrally distinct signal sources in hyperspectral imagery
-
Mar.
-
C.-I. Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 608-619, Mar. 2004.
-
(2004)
IEEE Trans. Geosci. Remote Sens.
, vol.42
, Issue.3
, pp. 608-619
-
-
Chang, C.-I.1
Du, Q.2
-
25
-
-
0037304809
-
Robust adaptive beamforming using worst-case performance optimization: A solution to the signal mismatch problem
-
Feb.
-
S. A. Vorobyov, A. B. Gershman, and Z.-Q. Luo, "Robust adaptive beamforming using worst-case performance optimization: A solution to the signal mismatch problem," IEEE Trans. Signal Process., vol. 51, no. 2, pp. 313-324, Feb. 2003.
-
(2003)
IEEE Trans. Signal Process.
, vol.51
, Issue.2
, pp. 313-324
-
-
Vorobyov, S.A.1
Gershman, A.B.2
Luo, Z.-Q.3
-
28
-
-
77649099036
-
Multiparameter receiver operating characteristic analysis for signal detection and classification
-
Mar.
-
C.-I. Chang, "Multiparameter receiver operating characteristic analysis for signal detection and classification," IEEE Sensors J., vol. 10, no. 3, pp. 423-442, Mar. 2010.
-
(2010)
IEEE Sensors J.
, vol.10
, Issue.3
, pp. 423-442
-
-
Chang, C.-I.1
-
29
-
-
60849106189
-
Receiver operating characteristic curve confidence intervals and regions
-
Apr.
-
J. Kerekes, "Receiver operating characteristic curve confidence intervals and regions," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 2, pp. 251-255, Apr. 2008.
-
(2008)
IEEE Geosci. Remote Sens. Lett.
, vol.5
, Issue.2
, pp. 251-255
-
-
Kerekes, J.1
-
30
-
-
66249142802
-
Regularized spectral matched filter for target recognition in hyperspectral imagery
-
N. M. Nasrabadi, "Regularized spectral matched filter for target recognition in hyperspectral imagery," IEEE Signal Process. Lett., vol. 15, pp. 317-320, 2008, DOI: 10.1109/LSP.2008.917805.
-
(2008)
IEEE Signal Process. Lett.
, vol.15
, pp. 317-320
-
-
Nasrabadi, N.M.1
-
31
-
-
84888290238
-
Regularization framework for target detection in hyperspectral imagery
-
Jan. 2014
-
Y. Zhang, B. Du, and L. Zhang, "Regularization framework for target detection in hyperspectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 1, pp. 313-317, Jan. 2014.
-
IEEE Geosci. Remote Sens. Lett.
, vol.11
, Issue.1
, pp. 313-317
-
-
Zhang, Y.1
Du, B.2
Zhang, L.3
-
32
-
-
44949150291
-
How to design synthetic images to validate and evaluate hyperspectral imaging algorithms
-
Orlando, FL, USA
-
Y.-C. C. Chang, H. Ren, C.-I. Chang, and R. S. Rand, "How to design synthetic images to validate and evaluate hyperspectral imaging algorithms," in Proc. SPIE Int. Soc. Opt. Eng.M, Orlando, FL, USA, 2008, p. 69661P.
-
(2008)
Proc. SPIE Int. Soc. Opt. Eng.M
, pp. 69661
-
-
Chang, Y.-C.C.1
Ren, H.2
Chang, C.-I.3
Rand, R.S.4
-
34
-
-
33847733865
-
Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization
-
Mar.
-
L. Miao and H. Qi, "Endmember extraction from highly mixed data using minimum volume constrained nonnegative matrix factorization," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 3, pp. 765-777, Mar. 2007.
-
(2007)
IEEE Trans. Geosci. Remote Sens.
, vol.45
, Issue.3
, pp. 765-777
-
-
Miao, L.1
Qi, H.2
-
35
-
-
0000113362
-
The U.S. Geological survey digital spectral library: Version 1: 0.2 to 3.0 microns
-
Denver, CO, USA, Open File Rep.
-
R. N. Clark, G. A. Swayze, A. J. Gallagher, T. V. V. King, and W. M. Calvin, "The U.S. geological survey digital spectral library: Version 1: 0.2 to 3.0 microns," U.S. Geol. Survey, Denver, CO, USA, Open File Rep., pp. 93-592, 1993.
-
(1993)
U.S. Geol. Survey
, pp. 93-592
-
-
Clark, R.N.1
Swayze, G.A.2
Gallagher, T.V.V.3
King, A.J.4
Calvin, W.M.5
-
36
-
-
84858071155
-
-
[Online]. Available:
-
AVIRIS Cuprite data set. [Online]. Available: Http://aviris.jpl.nasa.gov/html/aviris.freedata.html
-
AVIRIS Cuprite Data Set
-
-
-
38
-
-
66549101524
-
Development of a web-based application to evaluate target finding algorithms
-
Boston, MA, USA
-
D. Snyder et al., "Development of a web-based application to evaluate target finding algorithms," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Boston, MA, USA, 2008, pp. II915-II918.
-
(2008)
Proc. IEEE Int. Geosci. Remote Sens. Symp.
, pp. 915-918
-
-
Snyder, D.1
|