-
1
-
-
0009055256
-
Determining the number and identity of spectral endmembers: An integrated approach using Neyman-Pearson eigenthresholding and iterative constrained RMS error minimization
-
J. Harsanyi, W. Farrand, and C.-I Chang, "Determining the number and identity of spectral endmembers: An integrated approach using Neyman-Pearson eigenthresholding and iterative constrained RMS error minimization," Proc. 9th Thematic Conf. Geologic Remote Sensing, Feb. 1993.
-
Proc. 9th Thematic Conf. Geologic Remote Sensing, Feb. 1993
-
-
Harsanyi, J.1
Farrand, W.2
Chang, C.-I.3
-
2
-
-
33947653188
-
Automatic target recognition for hyperspectral imagery using high-order statistics
-
October
-
H. Ren, Q. Du, J. Wang, C.-I Chang, J.O. Jensen, and J.L. Jensen, "Automatic target recognition for hyperspectral imagery using high-order statistics," IEEE Transactions on Aerospace and Electronic Systems, Vol. 42, Issue 4, October 2006, pp. 1372-1385.
-
(2006)
IEEE Transactions on Aerospace and Electronic Systems
, vol.42
, Issue.4
, pp. 1372-1385
-
-
Ren, H.1
Du, Q.2
Wang, J.3
Chang, C.-I.4
Jensen, J.O.5
Jensen, J.L.6
-
3
-
-
33750820859
-
Impact of initialization on design of endmember extraction algorithms
-
Nov.
-
A. Plaza, and C.-I Chang, "Impact of initialization on design of endmember extraction algorithms," IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, Issue 11, Part 2, Nov. 2006, pp. 3397-3407.
-
(2006)
IEEE Transactions on Geoscience and Remote Sensing
, vol.44
, Issue.11 PART 2
, pp. 3397-3407
-
-
Plaza, A.1
Chang, C.-I.2
-
4
-
-
33744719449
-
Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis
-
June
-
J. Wang and C.-I Chang, "Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis," IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, Issue 6, June 2006, pp. 1586-1600.
-
(2006)
IEEE Transactions on Geoscience and Remote Sensing
, vol.44
, Issue.6
, pp. 1586-1600
-
-
Wang, J.1
Chang, C.-I.2
-
5
-
-
51849099605
-
Calculation of abundance factors in hyperspectral imaging using genetic algorithm
-
M. Farzam, S. Beheshti, and K. Raahemifar, "Calculation of abundance factors in hyperspectral imaging using genetic algorithm," Canadian Conference on Electrical and Computer Engineering, 4-7 May 2008, pp. 837-842.
-
Canadian Conference on Electrical and Computer Engineering, 4-7 May 2008
, pp. 837-842
-
-
Farzam, M.1
Beheshti, S.2
Raahemifar, K.3
-
6
-
-
33748650826
-
Exploration of virtual dimensionality in hyperspectral image analysis
-
C.-I Chang, "Exploration of virtual dimensionality in hyperspectral image analysis," Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, Vol. 6233, 2006.
-
(2006)
Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII
, vol.6233
-
-
Chang, C.-I.1
-
7
-
-
69949174303
-
Does Virtual Dimensionality Work in Hyperspectral Images?
-
P. Bajorski, "Does Virtual Dimensionality Work in Hyperspectral Images?" Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Orlando, FL, April 2009.
-
Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Orlando, FL, April 2009
-
-
Bajorski, P.1
-
9
-
-
10444285088
-
Comparison of basis-vector selection methods for target and background subspaces as applied to subpixel target detection
-
April
-
P. Bajorski, Ientilucci, E., and J. Schott, "Comparison of basis-vector selection methods for target and background subspaces as applied to subpixel target detection," Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, Orlando, FL, Vol. 5425, April 2004, pp. 97-108.
-
(2004)
Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, Orlando, FL
, vol.5425
, pp. 97-108
-
-
Bajorski, P.1
Ientilucci, E.2
Schott, J.3
|