-
1
-
-
85032751277
-
Detection algorithms for hyperspectral imaging applications
-
D. Manolakis and G. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Processing Mag., vol. 19, no. 1, pp. 29-43, 2002.
-
(2002)
IEEE Signal Processing Mag.
, vol.19
, Issue.1
, pp. 29-43
-
-
Manolakis, D.1
Shaw, G.2
-
2
-
-
0036613261
-
Anomaly detection and classification for hyperspectral imagery
-
C. I. Chang and S. S. Chiang, "Anomaly detection and classification for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 6, pp. 1314-1325, 2002.
-
(2002)
IEEE Trans. Geosci. Remote Sens.
, vol.40
, Issue.6
, pp. 1314-1325
-
-
Chang, C.I.1
Chiang, S.S.2
-
3
-
-
79955590723
-
Random-selection-based anomaly detector for hyperspectral imagery
-
B. Du and L. Zhang, "Random-Selection-Based Anomaly Detector for Hyperspectral Imagery," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1578-1589, 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.5
, pp. 1578-1589
-
-
Du, B.1
Zhang, L.2
-
4
-
-
0028467206
-
Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
-
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, 1994.
-
(1994)
IEEE Trans. Geosci. Remote Sens.
, vol.32
, Issue.4
, pp. 779-785
-
-
Harsanyi, J.C.1
Chang, C.I.2
-
5
-
-
29044445372
-
Kernel orthogonal subspace proj ection for hyperspectral signal classification
-
H. Kwon and N. M. Nasrabadi, "Kernel orthogonal subspace proj ection for hyperspectral signal classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 12, pp. 2952-2962, 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens.
, vol.43
, Issue.12
, pp. 2952-2962
-
-
Kwon, H.1
Nasrabadi, N.M.2
-
6
-
-
72049083490
-
Local approach to orthogonal subspace-based target detection in hyperspectral images
-
S.Matteoli, N. Acito, and M. Diani, "Local approach to orthogonal subspace-based target detection in hyperspectral images," in Proc. of IEEE WHISPERS '09, pp. 1-4, 2009.
-
(2009)
Proc. of IEEE WHISPERS '09
, pp. 1-4
-
-
Matteoli, S.1
Acito, N.2
Diani, M.3
-
7
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
K. R. Muller, S. Mika, G. Ratsch, K. Tsuda, and B. Scholkopf, "An introduction to kernel-based learning algorithms," IEEE Trans. Neural Netw., vol. 12, no. 2, pp. 181-201, 2001.
-
(2001)
IEEE Trans. Neural Netw.
, vol.12
, Issue.2
, pp. 181-201
-
-
Muller, K.R.1
Mika, S.2
Ratsch, G.3
Tsuda, K.4
Scholkopf, B.5
-
10
-
-
0028389048
-
Nonlinear spectral mixing models for vegetative and soil surfaces
-
C. C. Borel and S. A. W. Gerstl, "Nonlinear spectral mixing models for vegetative and soil surfaces," Remote Sensing of Environment, vol.47, no.3, pp. 403-416, 1994.
-
(1994)
Remote Sensing of Environment
, vol.47
, Issue.3
, pp. 403-416
-
-
Borel, C.C.1
Gerstl, S.A.W.2
-
11
-
-
38349158946
-
A selective KPCA algorithm based on high-order statistics for anomaly detection in hyperspectral imagery
-
Y.Gu and Y. Liu, "A selective KPCA algorithm based on high-order statistics for anomaly detection in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens. Lett., vol.5, no. l, pp. 43-47, 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens. Lett.
, vol.5
, Issue.1
, pp. 43-47
-
-
Gu, Y.1
Liu, Y.2
|