-
2
-
-
85032751277
-
Detection algorithms for hyperspectral imaging applications
-
DOI 10.1109/79.974724
-
D. Manolakis and G. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 29-43, 2002. (Pubitemid 34237206)
-
(2002)
IEEE Signal Processing Magazine
, vol.19
, Issue.1
, pp. 29-43
-
-
Manolakis, D.G.1
Shaw, G.2
-
3
-
-
85032751921
-
Anomaly detection from hyperspectral imagery
-
DOI 10.1109/79.974730
-
D. Stein, S. Beaven, L. Hoff, E. Winter, A. Schaum, and A. Stocker, "Anomaly detection from hyperspectral imagery," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 58-69, 2002. (Pubitemid 34237208)
-
(2002)
IEEE Signal Processing Magazine
, vol.19
, Issue.1
, 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
-
4
-
-
0035882614
-
Study of crop growth parameters using Airborne Imaging Spectrometer data
-
N. Patel, C. Patnaik, S. Dutta, A. Shekh, and A. Dave, "Study of crop growth parameters using airborne imaging spectrometer data," Int. J. Remote Sens., vol. 22, no. 12, pp. 2401-2411, 2001. (Pubitemid 32621038)
-
(2001)
International Journal of Remote Sensing
, vol.22
, Issue.12
, pp. 2401-2411
-
-
Patel, N.K.1
Patnaik, C.2
Dutta, S.3
Shekh, A.M.4
Dave, A.J.5
-
5
-
-
0041732265
-
Preprocessing eo-1 hyperion hyperspectral data to support the application of agricultural indexes
-
B. Datt, T. McVicar, T. Van Niel, D. Jupp, and J. Pearlman, "Preprocessing eo-1 hyperion hyperspectral data to support the application of agricultural indexes," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 6, pp. 1246-1259, 2003.
-
(2003)
IEEE Trans. Geosci. Remote Sens.
, vol.41
, Issue.6
, pp. 1246-1259
-
-
Datt, B.1
McVicar, T.2
Van Niel, T.3
Jupp, D.4
Pearlman, J.5
-
6
-
-
0035918524
-
Hymap hyperspectral remote sensing to detect hydrocarbons
-
B. Hörig, F. Kühn, F. Oschütz, andF. Lehmann, "Hymap hyperspectral remote sensing to detect hydrocarbons," Int. J. Remote Sens., vol. 22, no. 8, pp. 1413-1422, 2001.
-
(2001)
Int. J. Remote Sens.
, vol.22
, Issue.8
, pp. 1413-1422
-
-
Hörig, B.1
Kühn, F.2
Oschütz, F.3
Lehmann, F.4
-
7
-
-
0036643380
-
A statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images
-
DOI 10.1016/S0167-8655(02)00052-1, PII S0167865502000521, Selected papers for the 1st International Workshop on Pattern Recognition for Remote Sensing
-
F. Melgani and S. Serpico, "A statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images," Pattern Recognit. Lett, vol. 23, no. 9, pp. 1053-1061, 2002. (Pubitemid 34476149)
-
(2002)
Pattern Recognition Letters
, vol.23
, Issue.9
, pp. 1053-1061
-
-
Melgani, F.1
Serpico, S.B.2
-
8
-
-
0036476979
-
Fuzzy rule-based classification of remotely sensed imagery
-
ABardossy andL. Samamego, "Fuzzy rule-based classification of remotely sensed imagery," IEEE Trans Geosci. Remote Sens., vol. 40, no. 2, pp. 362-374, 2002.
-
(2002)
IEEE Trans Geosci. Remote Sens.
, vol.40
, Issue.2
, pp. 362-374
-
-
Bardossy, A.1
Samamego, L.2
-
9
-
-
0036762743
-
A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps
-
DOI 10.1109/TGRS.2002.803794
-
L. Bruzzone and R. Cossu, "A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 9, pp. 1984-1996, 2002. (Pubitemid 35458396)
-
(2002)
IEEE Transactions on Geoscience and Remote Sensing
, vol.40
, Issue.9
, pp. 1984-1996
-
-
Bruzzone, L.1
Cossu, R.2
-
10
-
-
4344614511
-
Classification of hyperspectral remote sensing images with support vector machines
-
F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 8, pp. 1778-1790, 2004.
-
(2004)
IEEE Trans. Geosci. Remote Sens.
, vol.42
, Issue.8
, pp. 1778-1790
-
-
Melgani, F.1
Bruzzone, L.2
-
11
-
-
20444432773
-
Kernel-based methods for hyperspectral image classification
-
DOI 10.1109/TGRS.2005.846154
-
G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens. vol. 43, no. 6, pp 1351-1362, 2005. (Pubitemid 40811944)
-
(2005)
IEEE Transactions on Geoscience and Remote Sensing
, vol.43
, Issue.6
, pp. 1351-1362
-
-
Camps-Valls, G.1
Bruzzone, L.2
-
12
-
-
33751379736
-
Image denoising via sparse and redundant representations over learned dictionaries
-
DOI 10.1109/TIP.2006.881969
-
M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Trans. Image Process., vol. 15, no. 12, pp. 3736-3745, 2006. (Pubitemid 44811686)
-
(2006)
IEEE Transactions on Image Processing
, vol.15
, Issue.12
, pp. 3736-3745
-
-
Elad, M.1
Aharon, M.2
-
13
-
-
78049312324
-
Image super-resolution via sparse representation
-
J. Yang, J. Wright, T. Huang, and Y. Ma, "Image super-resolution via sparse representation," IEEE Trans. Image Process., vol. 19, no. 11, pp. 2861-2873, 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.11
, pp. 2861-2873
-
-
Yang, J.1
Wright, J.2
Huang, T.3
Ma, Y.4
-
14
-
-
61549128441
-
Robust face recognition via sparse representation
-
J Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227, 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
15
-
-
79957667304
-
Sparse unmixing of hy-perspectral data
-
M. Iordache, J. Bioucas-Dias and A. Plaza, "Sparse unmixing of hy-perspectral data," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2014-2039, 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.6
, pp. 2014-2039
-
-
Iordache, M.1
Bioucas-Dias, J.2
Plaza, A.3
-
16
-
-
80053571096
-
Hyperspectral image classification using dictionary-based sparse representation
-
Y. Chen, N. Nasrabadi, and T. Tran, "Hyperspectral image classification using dictionary-based sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3973-3985, 2011.
-
(2011)
IEEE Trans. Geosci. Remote Sens.
, vol.49
, Issue.10
, pp. 3973-3985
-
-
Chen, Y.1
Nasrabadi, N.2
Tran, T.3
-
17
-
-
84863359440
-
Kernel sparse representation-based classifier
-
L. Zhang, W. D. Zhou, P. C. Chang, J. Liu, Z. Yan, T. Wang, and F. Z. Li, "Kernel sparse representation-based classifier," IEEE Trans. Signal Process., vol 60, no 4, pp. 1684-1695, 2012.
-
(2012)
IEEE Trans. Signal Process.
, vol.60
, Issue.4
, pp. 1684-1695
-
-
Zhang, L.1
Zhou, W.D.2
Chang, P.C.3
Liu, J.4
Yan, Z.5
Wang, T.6
Li, F.Z.7
-
18
-
-
78149343905
-
Kernel sparse representation for image classification and face recognition
-
Sep. Springer
-
S. Gao, I. Tsang, and L. Chia, "Kernel sparse representation for image classification and face recognition," m Proc. ECCV, Crete, Greece, Sep. 2010, pp. 1-14, Springer.
-
(2010)
M Proc. ECCV, Crete, Greece
, pp. 1-14
-
-
Gao, S.1
Tsang, I.2
Chia, L.3
-
19
-
-
4043137356
-
A tutorial on support vector regression
-
DOI 10.1023/B:STCO.0000035301.49549.88
-
A. Smola and B. Schölkopf, "A tutorial on support vector regression," Stat. Comput, vol. 14, no 3, pp. 199-222, 2004. (Pubitemid 39063488)
-
(2004)
Statistics and Computing
, vol.14
, Issue.3
, pp. 199-222
-
-
Smola, A.J.1
Scholkopf, B.2
-
20
-
-
67650436064
-
Recent advances m techniques for hyperspectral image processing
-
A. Plaza et al., "Recent advances m techniques for hyperspectral image processing," Remote Sens. Environ., vol. 113, pp. S110-S122, 2009
-
(2009)
Remote Sens. Environ.
, vol.113
-
-
Plaza, A.1
-
21
-
-
84863021199
-
Hyperspectral image classification via kernel sparse representation
-
Sep.
-
Y. Chen, N. Nasrabadi, and T. Tran, "Hyperspectral image classification via kernel sparse representation," m Proc. ICIP, Sep. 2011, pp. 1233-1236.
-
(2011)
M Proc. ICIP
, pp. 1233-1236
-
-
Chen, Y.1
Nasrabadi, N.2
Tran, T.3
-
22
-
-
31144448472
-
Composite kernels for hyperspectral image-classification
-
G. Camps-Valls, L. Gomez-Chova, J. Muñoz-Mań, J. Vila-France ́ s, and J. Calpe-Maravilla, "Composite kernels for hyperspectral image-classification," IEEE Geosci. Remote Sens., vol. 3, no. 1, pp. 93-97, 2006.
-
(2006)
IEEE Geosci. Remote Sens.
, vol.3
, Issue.1
, pp. 93-97
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Muñoz-Mań, J.3
Vila-Francés, J.4
Calpe-Maravilla, J.5
-
23
-
-
65049090023
-
A composite semisupervised svm for classification of hyperspectral images
-
M. Marconcim, G. Camps-Valls, and L. Bruzzone, "A composite semisupervised svm for classification of hyperspectral images," IEEE Geosci. Remote Sens., vol. 6, no. 2, pp. 234-238, 2009.
-
(2009)
IEEE Geosci. Remote Sens.
, vol.6
, Issue.2
, pp. 234-238
-
-
Marconcim, M.1
Camps-Valls, G.2
Bruzzone, L.3
-
24
-
-
65049084094
-
Semisupervised remote sensing image classification with cluster kernels
-
D. Tuia and G. Camps-Valls, "Semisupervised remote sensing image classification with cluster kernels," IEEE Geosci. Remote Sens, vol. 6, no. 2, pp. 224-228, 2009.
-
(2009)
IEEE Geosci. Remote Sens
, vol.6
, Issue.2
, pp. 224-228
-
-
Tuia, D.1
Camps-Valls, G.2
-
25
-
-
79953094686
-
Urban image classification with semisu-pervisedmultiscaleclusterkernels
-
D. Tuia and G. Camps-Valls, "Urban image classification with semisu-pervisedmultiscaleclusterkernels, "IEEEJ. Sel. Topics Quantum Electron., vol. 4, no. 1, pp. 65-74, 2011.
-
(2011)
IEEEJ. Sel. Topics Quantum Electron.
, vol.4
, Issue.1
, pp. 65-74
-
-
Tuia, D.1
Camps-Valls, G.2
-
26
-
-
73249149045
-
Mean map kernel methods for semisupervised cloud classification
-
L. Go ́ mez-Chova, G. Camps-Valls, L. Bruzzone, and J. Calpe-Mar-avilla, "Mean map kernel methods for semisupervised cloud classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 207-220, 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.1
, pp. 207-220
-
-
Gómez-Chova, L.1
Camps-Valls, G.2
Bruzzone, L.3
Calpe-Mar-Avilla, J.4
-
27
-
-
77957993814
-
Spatio-spectral remote sensing image classification with graph kernels
-
G. Camps-Valls, N. Shervashidze, and K. Borgwardt, "Spatio-spectral remote sensing image classification with graph kernels," IEEE Geosci. Remote Sens., vol. 7, no. 4, pp. 741-745, 2010.
-
(2010)
IEEE Geosci. Remote Sens.
, vol.7
, Issue.4
, pp. 741-745
-
-
Camps-Valls, G.1
Shervashidze, N.2
Borgwardt, K.3
-
28
-
-
84855935662
-
Large margin filtering
-
R. Flamary, D. Tuia, B. Labbe, G. Camps-Valls, and A. Rakotoma-monjy, "Large margin filtering," IEEE Trans. Signal Process., vol. 60, no. 2, pp. 648-659, 2012.
-
(2012)
IEEE Trans. Signal Process.
, vol.60
, Issue.2
, pp. 648-659
-
-
Flamary, R.1
Tuia, D.2
Labbe, B.3
Camps-Valls, G.4
Rakotoma-Monjy, A.5
-
29
-
-
0000874557
-
Theoretical foundations of the potential function method in pattern recognition learning
-
A. Aizerman, E. Braverman, and L. Rozoner, "Theoretical foundations of the potential function method in pattern recognition learning," Autom. Remote Contr., vol. 25, pp. 821-837, 1964.
-
(1964)
Autom. Remote Contr.
, vol.25
, pp. 821-837
-
-
Aizerman, A.1
Braverman, E.2
Rozoner, L.3
-
30
-
-
44049084715
-
Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection
-
DOI 10.1109/TGRS.2008.916201, 4509590
-
G. Camps-Valls, L. Gomez-Chova, J. Muñoz-Mari ́, J. Rojo-Alvarez, and M. Marti nez-Ramo ́ n, "Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 6, pp. 1822-1835, 2008. (Pubitemid 351711220)
-
(2008)
IEEE Transactions on Geoscience and Remote Sensing
, vol.46
, Issue.6
, pp. 1822-1835
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Munoz-Mari, J.3
Rojo-Alvarez, J.L.4
Martinez-Ramon, M.5
-
31
-
-
75449115228
-
Multisource composite kernels for urban-image classification
-
D. Tuia, F. Ratle, A. Pozdnoukhov, and G. Camps-Valls, "Multisource composite kernels for urban-image classification," IEEE Geosci. Remote Sens., vol.7, no. 1, pp. 88-92, 2010.
-
(2010)
IEEE Geosci. Remote Sens.
, vol.7
, Issue.1
, pp. 88-92
-
-
Tuia, D.1
Ratle, F.2
Pozdnoukhov, A.3
Camps-Valls, G.4
-
32
-
-
24644478715
-
A non-local algorithm for image denoising
-
San Diego, CA, USA, Jun. IEEE
-
A. Buades, B. Coll, and J. Morel, "A non-local algorithm for image denoising," in Proc. CVPR, San Diego, CA, USA, Jun. 2005, vol. 2, pp. 60-65, IEEE.
-
(2005)
Proc. CVPR
, vol.2
, pp. 60-65
-
-
Buades, A.1
Coll, B.2
Morel, J.3
-
34
-
-
0032319547
-
Face recognition based on nearest linear combinations
-
Santa Barbara, CA, USA, Jun.
-
S. Z. Li, "Face recognition based on nearest linear combinations," in Proc CVPR, Santa Barbara, CA, USA, Jun. 1998, pp. 839-844.
-
(1998)
Proc CVPR
, pp. 839-844
-
-
Li, S.Z.1
-
36
-
-
78649271874
-
Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing
-
Reykjavik, Iceland, Jun. IEEE
-
J. Bioucas-Dias and M. Figueiredo, "Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing," inProc. WHISPERS, Reykjavik, Iceland, Jun. 2010, pp. 1-4, IEEE.
-
(2010)
Proc. WHISPERS
, pp. 1-4
-
-
Bioucas-Dias, J.1
Figueiredo, M.2
-
38
-
-
30844438177
-
Signal recovery by proximal forward-backward splitting
-
P. Combettes et al, "Signal recovery by proximal forward-backward splitting," Multiscale Modeling Simul, vol. 4, no. 4, pp. 1168-1200, 2006.
-
(2006)
Multiscale Modeling Simul
, vol.4
, Issue.4
, pp. 1168-1200
-
-
Combettes, P.1
-
39
-
-
79955702502
-
LIBSVM: A library for support vector machines
-
C-C. Chang and C.-J. Lin, "LIBSVM: A library for support vector machines," ACM Tran. Intell. Syst. Technol. vol 2, pp. 27:1-27:27, 2011 [Online]. Available: http://www.csie.ntu.edu.tw/cjlin/libsvm
-
(2011)
ACM Tran. Intell. Syst. Technol.
, vol.2
, pp. 271-2727
-
-
Chang, C.-C.1
Lin, C.-J.2
-
40
-
-
80052740627
-
A spatial-spectral ker-nelbased approach for the classification of remote-sensing images
-
M. Fauvel, J. Chanussot, and J. Benediktsson, "A spatial-spectral ker-nelbased approach for the classification of remote-sensing images," PatternRecognit, vol. 45, no. 1, pp. 381-392, 2012.
-
(2012)
PatternRecognit
, vol.45
, Issue.1
, pp. 381-392
-
-
Fauvel, M.1
Chanussot, J.2
Benediktsson, J.3
-
42
-
-
39049145967
-
Semi-supervised graph-based hyperspectral image classification
-
G. Camps-Valls, T. B. Marsheva, and D. Zhou, "Semi-supervised graph-based hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3044-3054, 2007.
-
(2007)
IEEE Trans. Geosci. Remote Sens.
, vol.45
, Issue.10
, pp. 3044-3054
-
-
Camps-Valls, G.1
Marsheva, T.B.2
Zhou, D.3
-
43
-
-
14644421528
-
Investigation of the random forest framework for classification of hyperspectral data
-
DOI 10.1109/TGRS.2004.842481
-
J. Ham, Y. Chen, M. Crawford, and J. Ghosh, "Investigation of the random forest framework for classification of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 492-501, 2005. (Pubitemid 40320271)
-
(2005)
IEEE Transactions on Geoscience and Remote Sensing
, vol.43
, Issue.3
, pp. 492-501
-
-
Ham, J.1
Chen, Y.2
Crawford, M.M.3
Ghosh, J.4
|