-
1
-
-
4344614511
-
Classification of hyperspectral remote sensing images with support vector machines
-
Aug
-
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, Aug. 2004.
-
(2004)
IEEE Trans. Geosci. Remote Sens
, vol.42
, Issue.8
, pp. 1778-1790
-
-
Melgani, F.1
Bruzzone, L.2
-
2
-
-
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
-
3
-
-
84902073586
-
A discriminative metric learning based anomaly detection method
-
Nov
-
B. Du and L. Zhang, "A discriminative metric learning based anomaly detection method," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 6844-6857, Nov. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.11
, pp. 6844-6857
-
-
Du, B.1
Zhang, L.2
-
5
-
-
14644421528
-
Investigation of the random forest framework for classification of hyperspectral data
-
Mar
-
J. Ham, Y. Chen, M. M. Crawford, 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, Mar. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens
, vol.43
, Issue.3
, pp. 492-501
-
-
Ham, J.1
Chen, Y.2
Crawford, M.M.3
Ghosh, J.4
-
6
-
-
0031374466
-
Methodology for hyperspectral image classification using novel neural network
-
Aug
-
S. Subramanian, N. Gat, M. Sheffield, J. Barhen, N. Toomarian, "Methodology for hyperspectral image classification using novel neural network," in Proc. SPIE, Algorithms Multispectr. Hyperspectr. Imagery III, Aug. 1997, vol. 3071, pp. 128-137.
-
(1997)
Proc. SPIE, Algorithms Multispectr. Hyperspectr. Imagery III
, vol.3071
, pp. 128-137
-
-
Subramanian, S.1
Gat, N.2
Sheffield, M.3
Barhen, J.4
Toomarian, N.5
-
7
-
-
0033540293
-
A back-propagation neural network for mineralogical mapping from AVIRIS data
-
Jan
-
H. Yang, F. V. D. Meer, W. Bakker, Z. J. Tan, "A back-propagation neural network for mineralogical mapping from AVIRIS data," Int. J. Remote Sens., vol. 20, no. 1, pp. 97-110, Jan. 1999.
-
(1999)
Int. J. Remote Sens
, vol.20
, Issue.1
, pp. 97-110
-
-
Yang, H.1
Meer, F.V.D.2
Bakker, W.3
Tan, Z.J.4
-
8
-
-
67949113330
-
Some experiments with ensembles of neural networks for classification of hyperspectral images
-
C. Hernández-Espinosa, M. Fernández-Redondo, J. Torres-Sospedra, "Some experiments with ensembles of neural networks for classification of hyperspectral images," in Proc. ISNN, 2004, vol. 1, pp. 912-917.
-
(2004)
Proc. ISNN
, vol.1
, pp. 912-917
-
-
Hernández-Espinosa, C.1
Fernández-Redondo, M.2
Torres-Sospedra, J.3
-
9
-
-
67949116286
-
Innovative genetic algorithm for hyperspectral image classification
-
C. Vaiphasa, "Innovative genetic algorithm for hyperspectral image classification," in Proc. Int. Conf. MAP Asia, Kuala Lumpur, Malaysia, 2003, vol. 20, p. 45.
-
(2003)
Proc. Int. Conf. MAP Asia, Kuala Lumpur, Malaysia
, vol.20
, pp. 45
-
-
Vaiphasa, C.1
-
10
-
-
84876468871
-
An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery
-
Mar
-
Y. Zhong and L. Zhang, "An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 894-909, Mar. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens
, vol.50
, Issue.3
, pp. 894-909
-
-
Zhong, Y.1
Zhang, L.2
-
11
-
-
67649861039
-
-
Ph.D. dissertation Faculty Eng., Grenoble Inst. Technol., Grenoble, France
-
M. Fauvel, "Spectral and spatial methods for the classification of urban remote sensing data," Ph.D. dissertation, Faculty Eng., Grenoble Inst. Technol., Grenoble, France, 2007.
-
(2007)
Spectral and Spatial Methods for the Classification of Urban Remote Sensing Data
-
-
Fauvel, M.1
-
12
-
-
20444432773
-
Kernel-based methods for hyperspectral image classification
-
Jun
-
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, Jun. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens
, vol.43
, Issue.6
, pp. 1351-1362
-
-
Camps-Valls, G.1
Bruzzone, L.2
-
13
-
-
0032636659
-
Support vector machines for hyperspectral remote sensing classification
-
J. A. Gualtieri and R. F. Cromp, "Support vector machines for hyperspectral remote sensing classification," in Proc. SPIE Workshop Adv. Comput. Assisted Recog., 1998, vol. 3584, pp. 221-232.
-
(1998)
Proc. SPIE Workshop Adv. Comput. Assisted Recog
, vol.3584
, pp. 221-232
-
-
Gualtieri, J.A.1
Cromp, R.F.2
-
14
-
-
33947659964
-
Evaluation of kernels for multiclass classification of hyperspectral remote sensing data
-
May
-
M. Fauvel, J. Chanussot, J. A. Benediktsson, "Evaluation of kernels for multiclass classification of hyperspectral remote sensing data," in Proc. IEEE ICASSP, May 2006, pp. II813-II816.
-
(2006)
Proc IEEE ICASSP
, pp. II813-II816
-
-
Fauvel, M.1
Chanussot, J.2
Benediktsson, J.A.3
-
15
-
-
84897116093
-
Detection of hedges in a rural landscape using a local orientation feature: From linear opening to path opening
-
Feb
-
M. Fauvel, B. Arbelot, J. A. Benediktsson, D. Sheeren, J. Chanussot, "Detection of hedges in a rural landscape using a local orientation feature: From linear opening to path opening," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 1, pp. 15-26, Feb. 2013.
-
(2013)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
, vol.6
, Issue.1
, pp. 15-26
-
-
Fauvel, M.1
Arbelot, B.2
Benediktsson, J.A.3
Sheeren, D.4
Chanussot, J.5
-
16
-
-
77953139504
-
Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images
-
Jul
-
S. Valero, J. Chanussot, J. A. Benediktsson, H. Talbot, B. Waske, "Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images," Pattern Recognit. Lett., vol. 31, no. 10, pp. 1120-1127, Jul. 2010.
-
(2010)
Pattern Recognit. Lett
, vol.31
, Issue.10
, pp. 1120-1127
-
-
Valero, S.1
Chanussot, J.2
Benediktsson, J.A.3
Talbot, H.4
Waske, B.5
-
17
-
-
0035248508
-
A new approach for the morphological segmentation of high-resolution satellite imagery
-
Feb
-
M. Pesaresi and J. A. Benediktsson, "A new approach for the morphological segmentation of high-resolution satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 309-320, Feb. 2001.
-
(2001)
IEEE Trans. Geosci. Remote Sens
, vol.39
, Issue.2
, pp. 309-320
-
-
Pesaresi, M.1
Benediktsson, J.A.2
-
18
-
-
56849127860
-
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
-
Oct
-
M. Fauvel, J. Chanussot, J. A. Benediktsson, J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 10, pp. 3804-3814, Oct. 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, Issue.10
, pp. 3804-3814
-
-
Fauvel, M.1
Chanussot, J.2
Benediktsson, J.A.3
Sveinsson, J.R.4
-
19
-
-
23844524154
-
A unified framework for map estimation in remote sensing image segmentation
-
Jul
-
A. Farag, R. Mohamed, A. El-Baz, "A unified framework for map estimation in remote sensing image segmentation," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 7, pp. 1617-1634, Jul. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens
, vol.43
, Issue.7
, pp. 1617-1634
-
-
Farag, A.1
Mohamed, R.2
El-Baz, A.3
-
20
-
-
84902120621
-
A hybrid object-oriented conditional random field classification framework for high spatial resolution remote sensing imagery
-
Nov
-
Y. Zhong, J. Zhao, L. Zhang, "A hybrid object-oriented conditional random field classification framework for high spatial resolution remote sensing imagery," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 7023-7037, Nov. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.11
, pp. 7023-7037
-
-
Zhong, Y.1
Zhao, J.2
Zhang, L.3
-
21
-
-
85027924217
-
Classification of hyperspectral images by exploiting spectral-spatial information of superpixel via multiple kernels
-
Dec
-
L. Fang, S. Li, W. Duan, J. Ren, J. A. Benediktsson, "Classification of hyperspectral images by exploiting spectral-spatial information of superpixel via multiple kernels," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 12, pp. 6663-6674, Dec. 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens
, vol.53
, Issue.12
, pp. 6663-6674
-
-
Fang, L.1
Li, S.2
Duan, W.3
Ren, J.4
Benediktsson, J.A.5
-
22
-
-
84927670473
-
Spatial coherence based batch-mode active learning for remote sensing images classification
-
Jul
-
Q. Shi, B. Du, L. Zhang, "Spatial coherence based batch-mode active learning for remote sensing images classification," IEEE Trans. Image Process., vol. 24, no. 7, pp. 2037-2050, Jul. 2015.
-
(2015)
IEEE Trans. Image Process
, vol.24
, Issue.7
, pp. 2037-2050
-
-
Shi, Q.1
Du, B.2
Zhang, L.3
-
23
-
-
0242712308
-
Support vector machines for hyperspectral image classification with spectral-based kernels
-
Jul
-
G. Mercier and M. Lennon, "Support vector machines for hyperspectral image classification with spectral-based kernels," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Jul. 2003, vol. 1, pp. 288-290.
-
(2003)
Proc IEEE Int. Geosci. Remote Sens. Symp
, vol.1
, pp. 288-290
-
-
Mercier, G.1
Lennon, M.2
-
24
-
-
57249084590
-
-
Nov
-
A. Rakotomamonjy, F. R. Bach, S. Canu, Y. Grandvalet, "Simple-MKL," J. Mach. Learn. Res., vol. 9, pp. 2491-2521, Nov. 2008.
-
(2008)
Simple-MKL J. Mach. Learn. Res
, vol.9
, pp. 2491-2521
-
-
Rakotomamonjy, A.1
Bach, F.R.2
Canu, S.3
Grandvalet, Y.4
-
25
-
-
31144448472
-
Composite kernels for hyperspectral image classification
-
Jan
-
G. Camps-Valls, L. Gomez-Chova, J. Munõz-Marí, J. Vila-Francés, J. Calpe-Maravilla, "Composite kernels for hyperspectral image classification," IEEE Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 93-97, Jan. 2006.
-
(2006)
IEEE Geosci. Remote Sens. Lett
, vol.3
, Issue.1
, pp. 93-97
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Munõz-Marí, J.3
Vila-Francés, J.4
Calpe-Maravilla, J.5
-
26
-
-
44049084715
-
Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection
-
Jun
-
G. Camps-Valls, L. Gomez-Chova, J. Munõz-Marí, J. L. Rojo-Alvarez, M. Martinez-Ramon, "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, Jun. 2008.
-
(2008)
IEEE Trans. Geosci. Remote Sens
, vol.46
, Issue.6
, pp. 1822-1835
-
-
Camps-Valls, G.1
Gomez-Chova, L.2
Munõz-Marí, J.3
Rojo-Alvarez, J.L.4
Martinez-Ramon, M.5
-
27
-
-
75449115228
-
Multisource composite kernels for urban-image classification
-
Jan
-
D. Tuia, F. Ratle, A. Pozdnoukhov, G. Camps-Valls, "Multisource composite kernels for urban-image classification," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 88-92, Jan. 2010.
-
(2010)
IEEE Geosci. Remote Sens. Lett
, vol.7
, Issue.1
, pp. 88-92
-
-
Tuia, D.1
Ratle, F.2
Pozdnoukhov, A.3
Camps-Valls, G.4
-
29
-
-
84861148621
-
A novel multiple kernel learning framework for heterogeneous feature fusion and variable selection
-
Jun
-
Y.-R. Yeh, T.-C. Lin, Y.-Y. Chung, Y.-C. F. Lin, "A novel multiple kernel learning framework for heterogeneous feature fusion and variable selection," IEEE Trans. Multimedia, vol. 14, no. 1, pp. 563-574, Jun. 2012.
-
(2012)
IEEE Trans. Multimedia
, vol.14
, Issue.1
, pp. 563-574
-
-
Yeh, Y.-R.1
Lin, T.-C.2
Chung, Y.-Y.3
Lin, Y.-C.F.4
-
30
-
-
84862993024
-
Representative multiple-kernel learning for classification of hyperspectral imagery
-
Jul
-
Y. Gu et al., "Representative multiple-kernel learning for classification of hyperspectral imagery" IEEE Trans. Geosci. Remote Sens., vol. 50, no. 7, pp. 2852-2865, Jul. 2012.
-
(2012)
IEEE Trans. Geosci. Remote Sens
, vol.50
, Issue.7
, pp. 2852-2865
-
-
Gu, Y.1
-
31
-
-
0036762736
-
Advances in mathematical morphology applied to geoscience and remote sensing
-
Sep
-
P. Soille andM. Pesaresi, "Advances in mathematical morphology applied to geoscience and remote sensing," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 9, pp. 2042-2055, Sep. 2002.
-
(2002)
IEEE Trans. Geosci. Remote Sens
, vol.40
, Issue.9
, pp. 2042-2055
-
-
Soille, P.1
Pesaresi, M.2
-
32
-
-
77957001686
-
Learning relevant image features with multiple-kernel classification
-
Oct
-
D. Tuia, G. Camps-Valls, G. Matasci, M. Kanevski, "Learning relevant image features with multiple-kernel classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3780-3791, Oct. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens
, vol.48
, Issue.10
, pp. 3780-3791
-
-
Tuia, D.1
Camps-Valls, G.2
Matasci, G.3
Kanevski, M.4
-
33
-
-
14644412366
-
Classification of hyperspectral data from urban areas based on extended morphological profiles
-
Mar
-
J. A. Benediktsson, J. A. Palmason, J. R. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 480-491, Mar. 2005.
-
(2005)
IEEE Trans. Geosci. Remote Sens
, vol.42
, Issue.3
, pp. 480-491
-
-
Benediktsson, J.A.1
Palmason, J.A.2
Sveinsson, J.R.3
-
34
-
-
85027946946
-
Morphological profiles based on differently shaped structuring elements for classification of images with very high spatial resolution
-
Dec
-
Z. Y. Lv, P. Zhang, J. A. Benediktsson, W. Z. Shi, "Morphological profiles based on differently shaped structuring elements for classification of images with very high spatial resolution," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 12, pp. 4644-4652, Dec. 2014.
-
(2014)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
, vol.7
, Issue.12
, pp. 4644-4652
-
-
Lv, Z.Y.1
Zhang, P.2
Benediktsson, J.A.3
Shi, W.Z.4
-
36
-
-
72149111677
-
Band selection for hyperspectral imagery using affinity propagation
-
Dec
-
Y. Qian, F. Yao, S. Jia, "Band selection for hyperspectral imagery using affinity propagation," IET Comput. Vis., vol. 3, no. 4, pp. 213-222, Dec. 2009.
-
(2009)
IET Comput. Vis
, vol.3
, Issue.4
, pp. 213-222
-
-
Qian, Y.1
Yao, F.2
Jia, S.3
-
37
-
-
80052213499
-
Multiple kernel learning algorithms
-
Jul
-
M. Gönen and E. Alpaydn, "Multiple kernel learning algorithms," J. Mach. Learn. Res., vol. 12, pp. 2211-2268, Jul. 2011.
-
(2011)
J. Mach. Learn. Res
, vol.12
, pp. 2211-2268
-
-
Gönen, M.1
Alpaydn, E.2
-
38
-
-
84858743760
-
Learning non-linear combinations of kernels
-
C. Cortes, M. Mohri, A. Rostamizadeh, "Learning non-linear combinations of kernels," in Proc. NIPS, 2009, pp. 396-404.
-
(2009)
Proc. NIPS
, pp. 396-404
-
-
Cortes, C.1
Mohri, M.2
Rostamizadeh, A.3
-
41
-
-
77958134983
-
L2 regularization for learning kernels
-
C. Cortes, M. Mohri, A. Rostamizadeh, "L2 regularization for learning kernels," in Proc. 25th Uncertainty Artif. Intell., 2009, pp. 109-116.
-
(2009)
Proc. 25th Uncertainty Artif. Intell
, pp. 109-116
-
-
Cortes, C.1
Mohri, M.2
Rostamizadeh, A.3
-
42
-
-
15944411032
-
A collection of data for urban area characterization
-
P. Gamba, "A collection of data for urban area characterization," in Proc. IEEE IGARSS, Anchorage, AK, USA, 2004, pp. 69-72.
-
(2004)
Proc IEEE IGARSS, Anchorage, AK, USA
, pp. 69-72
-
-
Gamba, P.1
-
43
-
-
84991980178
-
-
AVIRIS NW Indiana's Indian Pines Data Set. [Online]. Available
-
AVIRIS NW Indiana's Indian Pines 1992 Data Set. [Online]. Available: ftp://ftp.ecn.purdue.edu/biehl/MultiSpec/92AV3C.tif.zip
-
(1992)
-
-
-
44
-
-
84899795478
-
A two-stage feature selection framework for hyperspectral image classification using few labeled samples
-
Apr
-
S. Jia, Z. Zhu, L. Shen, Q. Li, "A two-stage feature selection framework for hyperspectral image classification using few labeled samples," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 3, pp. 1023-1035, Apr. 2014.
-
(2014)
IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens
, vol.7
, Issue.3
, pp. 1023-1035
-
-
Jia, S.1
Zhu, Z.2
Shen, L.3
Li, Q.4
-
45
-
-
84907456238
-
Multiple feature learning for hyperspectral image classification
-
Mar
-
J. Li et al., "Multiple feature learning for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 3, pp. 1592-1606, Mar. 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens
, vol.53
, Issue.3
, pp. 1592-1606
-
-
Li, J.1
-
49
-
-
3042661357
-
Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy
-
May
-
G. M. Foody, "Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy," Photogramm. Eng. Remote Sens., vol. 70, no. 5, pp. 627-633, May 2004.
-
(2004)
Photogramm. Eng. Remote Sens
, vol.70
, Issue.5
, pp. 627-633
-
-
Foody, G.M.1
-
50
-
-
84898936871
-
On kernel target alignment
-
N. Cristianini, J. Shawe-Taylor, A. Elisseeff, J. Kandola, "On kernel target alignment," in Proc. Adv. Neural Inf. Process. Syst., 2002, pp. 367-373.
-
(2002)
Proc. Adv. Neural Inf. Process. Syst
, pp. 367-373
-
-
Cristianini, N.1
Shawe-Taylor, J.2
Elisseeff, A.3
Kandola, J.4
|