-
1
-
-
0028467206
-
Detection of low probability subpixel targets in hyperspectral image sequences with unknown backgrounds
-
J. C. Harsanyi and C. I. Chang, "Detection of low probability subpixel targets in hyperspectral image sequences with unknown backgrounds," IEEE Trans. Geosci. Remote Sens. 32, 779-785 (1994).
-
(1994)
IEEE Trans. Geosci. Remote Sens.
, vol.32
, pp. 779-785
-
-
Harsanyi, J.C.1
Chang, C.I.2
-
2
-
-
0034427317
-
Target-constrained interference-minimized approach to subpixel target detection for hyperspectral images
-
H. Ren and C. I. Chang, "Target-constrained interference-minimized approach to subpixel target detection for hyperspectral images," Opt. Eng. 39, 3138-3145 (2000).
-
(2000)
Opt. Eng.
, vol.39
, pp. 3138-3145
-
-
Ren, H.1
Chang, C.I.2
-
3
-
-
0035124109
-
An adaptive detection algorithm
-
S. Kraut, L. L. Scharf, and L. T. McWorther, "An adaptive detection algorithm," IEEE Trans. Signal Process. 49, 1-16 (2001).
-
(2001)
IEEE Trans. Signal Process.
, vol.49
, pp. 1-16
-
-
Kraut, S.1
Scharf, L.L.2
McWorther, L.T.3
-
4
-
-
85032751277
-
Detection algorithms for hyperspectral imaging applications
-
D. G. Manolakis and G. A. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag. 19, 29-43 (2002).
-
(2002)
IEEE Signal Process. Mag.
, vol.19
, pp. 29-43
-
-
Manolakis, D.G.1
Shaw, G.A.2
-
6
-
-
0025508756
-
Adaptive multiple band for detection of an optical pattern with unknown spectral distribution
-
I. S. Reed and X. Yu, "Adaptive multiple band for detection of an optical pattern with unknown spectral distribution," IEEE Trans. Acoust. Speech Signal Process. 38, 1760-1770 (1990).
-
(1990)
IEEE Trans. Acoust. Speech Signal Process.
, vol.38
, pp. 1760-1770
-
-
Reed, I.S.1
Yu, X.2
-
7
-
-
0027646809
-
Comparative performance analysis of adaptive multispectral detectors
-
X. Yu, I. S. Reed, and A. D. Stocker, "Comparative performance analysis of adaptive multispectral detectors," IEEE Trans. Signal Process. 41, 2639-2656 (1993).
-
(1993)
IEEE Trans. Signal Process.
, vol.41
, pp. 2639-2656
-
-
Yu, X.1
Reed, I.S.2
Stocker, A.D.3
-
9
-
-
85032751921
-
Anomaly detection from hyperspectral imagery
-
D. W. J. Stein, S. G. Beaven, L. E. Hoff, E. M. Winter, A. P. Schaum, and A. D. Stocker, "Anomaly detection from hyperspectral imagery," IEEE Signal Process. Mag. 19, 58-69 (2002).
-
(2002)
IEEE Signal Process. Mag.
, vol.19
, pp. 58-69
-
-
Stein, D.W.J.1
Beaven, S.G.2
Hoff, L.E.3
Winter, E.M.4
Schaum, A.P.5
Stocker, A.D.6
-
10
-
-
0034225127
-
Real-time hyperspectral detection and cuing
-
C. M. Stellman, G. G. Hazel, F. Bucholtz, J. V. Michalowicz, A. D. Stocker, and W. Schaaf, "Real-time hyperspectral detection and cuing, " Opt. Eng. 39, 1928-1935 (2000).
-
(2000)
Opt. Eng.
, vol.39
, pp. 1928-1935
-
-
Stellman, C.M.1
Hazel, G.G.2
Bucholtz, F.3
Michalowicz, J.V.4
Stocker, A.D.5
Schaaf, W.6
-
11
-
-
0033685691
-
Comparative analysis of hyperspectral adaptive matched filter detectors
-
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, S. S. Chen and M. R. Descour, eds.
-
D. G. Manolakis, G. A. Shaw, and N. Keshava, "Comparative analysis of hyperspectral adaptive matched filter detectors," in Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, S. S. Chen and M. R. Descour, eds., Proc. SPIE 4049, 2-17 (2000).
-
(2000)
Proc. SPIE
, vol.4049
, pp. 2-17
-
-
Manolakis, D.G.1
Shaw, G.A.2
Keshava, N.3
-
13
-
-
0023348923
-
Effects of estimated noise covariance matrix in optimal signal detection
-
C. G. Khatri and R. Rao, "Effects of estimated noise covariance matrix in optimal signal detection," IEEE Trans. Acoust. Speech Signal Process. 35, 671-679 (1987).
-
(1987)
IEEE Trans. Acoust. Speech Signal Process.
, vol.35
, pp. 671-679
-
-
Khatri, C.G.1
Rao, R.2
-
14
-
-
17644362284
-
Target detection in hyperspectral images based on multicomponent statistical models for representation of background clutter
-
Unmanned/Unattended Sensors and Sensor Networks, E. Carapezza, ed.
-
I. Kasen, P. A. Goa, and T. Skauli, "Target detection in hyperspectral images based on multicomponent statistical models for representation of background clutter," in Unmanned/Unattended Sensors and Sensor Networks, E. Carapezza, ed., Proc. SPIE 5612, 258-264 (2004).
-
(2004)
Proc. SPIE
, vol.5612
, pp. 258-264
-
-
Kasen, I.1
Goa, P.A.2
Skauli, T.3
-
15
-
-
17644389209
-
Physical subspace models for invariant material identification: Subspace composition and detection performance
-
Optics in Atmospheric Propagation and Adaptive Systems VII, J. D. Gonglewski and K. Stein, eds.
-
P. E. Goa, T. Skauli, I. Kasen, T. V. Haavardsholm, and A. Rodningsby, "Physical subspace models for invariant material identification: subspace composition and detection performance," in Optics in Atmospheric Propagation and Adaptive Systems VII, J. D. Gonglewski and K. Stein, eds., Proc. SPIE 5573, 203-214 (2004).
-
(2004)
Proc. SPIE
, vol.5573
, pp. 203-214
-
-
Goa, P.E.1
Skauli, T.2
Kasen, I.3
Haavardsholm, T.V.4
Rodningsby, A.5
-
16
-
-
3042605361
-
Statistical decision theory II
-
Detection Theory, Prentice-Hall
-
S. M. Kay, "Statistical decision theory II," in Detection Theory, Vol. II of Fundamentals of Statistical Signal Processing (Prentice-Hall, 1998), pp. 186-247.
-
(1998)
Fundamentals of Statistical Signal Processing
, vol.2
, pp. 186-247
-
-
Kay, S.M.1
-
18
-
-
0035171347
-
Automated optimal channel selection for spectral imaging sensors
-
Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, S. S. Shen and M. R. Descour, eds.
-
J. Gruninger, R. L. Sundberg, M. J. Fox, R. Levine, W. F. Mundkowsky, M. S. Salisbury, and A. H. Ratcliff, "Automated optimal channel selection for spectral imaging sensors," in Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, S. S. Shen and M. R. Descour, eds., Proc. SPIE 4381, 68-75 (2001).
-
(2001)
Proc. SPIE
, vol.4381
, pp. 68-75
-
-
Gruninger, J.1
Sundberg, R.L.2
Fox, M.J.3
Levine, R.4
Mundkowsky, W.F.5
Salisbury, M.S.6
Ratcliff, A.H.7
-
19
-
-
0035166677
-
Band selection from a hyperspectral datacube for a real-time multispectral 3ccd camera
-
Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, S. S. Shen and M. R. Descour, eds.
-
P. E. Withagen, E. den Breejen, E. M. Franken, A. N. de Jong, and H. Winkel, "Band selection from a hyperspectral datacube for a real-time multispectral 3ccd camera," in Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, S. S. Shen and M. R. Descour, eds., Proc. SPIE 4381, 84-93 (2001).
-
(2001)
Proc. SPIE
, vol.4381
, pp. 84-93
-
-
Withagen, P.E.1
Den Breejen, E.2
Franken, E.M.3
De Jong, A.N.4
Winkel, H.5
-
20
-
-
4143064738
-
Methodology for hyperspectral band selection
-
P. Bajcsy and P. Groves, "Methodology for hyperspectral band selection," Photogram. Eng. Remote Sens. 70, 793-802 (2004).
-
(2004)
Photogram. Eng. Remote Sens.
, vol.70
, pp. 793-802
-
-
Bajcsy, P.1
Groves, P.2
-
21
-
-
18844367208
-
Band selection based on feature weighting for classification of hyperspectral data
-
R. Huang and M. He, "Band selection based on feature weighting for classification of hyperspectral data," IEEE Geosci. Remote Sens. Lett. 2, 156-159 (2005).
-
(2005)
IEEE Geosci. Remote Sens. Lett.
, vol.2
, pp. 156-159
-
-
Huang, R.1
He, M.2
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