-
1
-
-
84940417789
-
Unsupervised deep feature extraction for remote sensing image classification
-
Mar.
-
A. Romero, C. Gatta, and G. Camps-Valls, "Unsupervised deep feature extraction for remote sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 3, pp. 1349-1362, Mar. 2016.
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, Issue.3
, pp. 1349-1362
-
-
Romero, A.1
Gatta, C.2
Camps-Valls, G.3
-
2
-
-
0345414182
-
Video Google: A text retrieval approach to object matching in videos
-
J. Sivic and A. Zisserman, "Video Google: A text retrieval approach to object matching in videos," in Proc. ICCV, 2003, pp. 1470-1478.
-
(2003)
Proc. ICCV
, pp. 1470-1478
-
-
Sivic, J.1
Zisserman, A.2
-
3
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
New York, NY, USA, Jun.
-
S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR), New York, NY, USA, Jun. 2006, pp. 2169-2178.
-
(2006)
Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 2169-2178
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
5
-
-
84905920772
-
(Semi-) supervised probabilistic principal component analysis for hyperspectral remote sensing image classification
-
Jun.
-
J. Xia, J. Chanussot, P. Du, and X. He, "(Semi-) supervised probabilistic principal component analysis for hyperspectral remote sensing image classification," IEEE J. Sel. Topics Appl. Earth Observat. Remote Sens., vol. 7, no. 6, pp. 2224-2236, Jun. 2014.
-
(2014)
IEEE J. Sel. Topics Appl. Earth Observat. Remote Sens
, vol.7
, Issue.6
, pp. 2224-2236
-
-
Xia, J.1
Chanussot, J.2
Du, P.3
He, X.4
-
6
-
-
84890425279
-
Unsupervised feature learning for aerial scene classification
-
Jan.
-
A. M. Cheriyadat, "Unsupervised feature learning for aerial scene classification," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, pp. 439-451, Jan. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, Issue.1
, pp. 439-451
-
-
Cheriyadat, A.M.1
-
7
-
-
85027941803
-
Semi-supervised multitask learning for scene recognition
-
Sep.
-
X. Lu, X. Li, and L. Mou, "Semi-supervised multitask learning for scene recognition," IEEE Trans. on, vol. 45, no. 9, pp. 1967-1976, Sep. 2015.
-
(2015)
IEEE Trans. on
, vol.45
, Issue.9
, pp. 1967-1976
-
-
Lu, X.1
Li, X.2
Mou, L.3
-
8
-
-
84908032942
-
Saliency-guided unsupervised feature learning for scene classification
-
Apr.
-
F. Zhang, B. Du, and L. Zhang, "Saliency-guided unsupervised feature learning for scene classification," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 4, pp. 2175-2184, Apr. 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens
, vol.53
, Issue.4
, pp. 2175-2184
-
-
Zhang, F.1
Du, B.2
Zhang, L.3
-
9
-
-
84909977972
-
Multi-class geospatial object detection and geographic image classification based on collection of part detectors
-
Dec.
-
G. Cheng, J. Han, P. Zhou, and L. Guo, "Multi-class geospatial object detection and geographic image classification based on collection of part detectors," ISPRS J. Photogramm. Remote Sens., vol. 98, pp. 119-132, Dec. 2014.
-
(2014)
ISPRS J. Photogramm. Remote Sens
, vol.98
, pp. 119-132
-
-
Cheng, G.1
Han, J.2
Zhou, P.3
Guo, L.4
-
10
-
-
85028158057
-
Effective and efficient midlevel visual elements-oriented land-use classification using VHR remote sensing images
-
Aug.
-
G. Cheng, J. Han, L. Guo, Z. Liu, S. Bu, and J. Ren, "Effective and efficient midlevel visual elements-oriented land-use classification using VHR remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 8, pp. 4238-4249, Aug. 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens
, vol.53
, Issue.8
, pp. 4238-4249
-
-
Cheng, G.1
Han, J.2
Guo, L.3
Liu, Z.4
Bu, S.5
Ren, J.6
-
11
-
-
84869762769
-
Deep learning in very high resolution remote sensing image information mining communication concept
-
Aug.
-
C. Vaduva, I. Gavat, and M. Datcu, "Deep learning in very high resolution remote sensing image information mining communication concept," in Proc. Proc. 20th Eur. Signal Process. Conf. (EUSIPCO), Aug. 2012, pp. 2506-2510.
-
(2012)
Proc. Proc. 20th Eur. Signal Process. Conf. (EUSIPCO)
, pp. 2506-2510
-
-
Vaduva, C.1
Gavat, I.2
Datcu, M.3
-
12
-
-
84901322878
-
Vehicle detection in satellite images by hybrid deep convolutional neural networks
-
Oct.
-
X. Chen, S. Xiang, C.-L. Liu, and C.-H. Pan, "Vehicle detection in satellite images by hybrid deep convolutional neural networks," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 10, pp. 1797-1801, Oct. 2014.
-
(2014)
IEEE Geosci. Remote Sens. Lett.
, vol.11
, Issue.10
, pp. 1797-1801
-
-
Chen, X.1
Xiang, S.2
Liu, C.-L.3
Pan, C.-H.4
-
13
-
-
84947865496
-
Unsupervised spectral-spatial feature learning with stacked sparse autoencoder for hyperspectral imagery classification
-
Dec.
-
C. Tao, H. Pan, Y. Li, and Z. Zou, "Unsupervised spectral-spatial feature learning with stacked sparse autoencoder for hyperspectral imagery classification," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 12, pp. 2438-2442, Dec. 2015.
-
(2015)
IEEE Geosci. Remote Sens. Lett.
, vol.12
, Issue.12
, pp. 2438-2442
-
-
Tao, C.1
Pan, H.2
Li, Y.3
Zou, Z.4
-
14
-
-
84947127828
-
Deep learning based feature selection for remote sensing scene classification
-
Nov.
-
Q. Zou, L. Ni, T. Zhang, and Q. Wang, "Deep learning based feature selection for remote sensing scene classification," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 11, pp. 2321-2325, Nov. 2015.
-
(2015)
IEEE Geosci. Remote Sens. Lett.
, vol.12
, Issue.11
, pp. 2321-2325
-
-
Zou, Q.1
Ni, L.2
Zhang, T.3
Wang, Q.4
-
15
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets," Neural Comput., vol. 18, no. 7, pp. 1527-1554, 2006.
-
(2006)
Neural Comput.
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
16
-
-
84947803081
-
Meta-parameter free unsupervised sparse feature learning
-
Aug.
-
A. Romero, P. Radeva, and C. Gatta, "Meta-parameter free unsupervised sparse feature learning," IEEE Trans. Pattern Anal. Mach. Intell., vol. 37, no. 8, pp. 1716-1722, Aug. 2015.
-
(2015)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.37
, Issue.8
, pp. 1716-1722
-
-
Romero, A.1
Radeva, P.2
Gatta, C.3
-
17
-
-
84945898896
-
Scene classification via a gradient boosting random convolutional network framework
-
Mar.
-
F. Zhang, B. Du, and L. Zhang, "Scene classification via a gradient boosting random convolutional network framework," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 3, pp. 1793-1802, Mar. 2016.
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, Issue.3
, pp. 1793-1802
-
-
Zhang, F.1
Du, B.2
Zhang, L.3
-
18
-
-
84979775123
-
Towards better exploiting convolutional neural networks for remote sensing scene classification
-
Jan. [Online]
-
K. Nogueira, O. A. B. Penatti, and J. A. dos Santos, "Towards better exploiting convolutional neural networks for remote sensing scene classification," Pattern Recognit., vol. 61, pp. 539-556, Jan. 2017. [Online]. Available: http://www.sciencedirect.com/science/article/pii/-S0031320316301509
-
(2017)
Pattern Recognit.
, vol.61
, pp. 539-556
-
-
Nogueira, K.1
Penatti, O.A.B.2
Dos Santos, J.A.3
-
19
-
-
84978388572
-
Using convolutional features and a sparse autoencoder for land-use scene classification
-
E. Othman, Y. Bazi, N. Alajlan, H. Alhichri, and F. Melgani, "Using convolutional features and a sparse autoencoder for land-use scene classification," Int. J. Remote Sens., vol. 37, no. 10, pp. 2149-2167, 2016.
-
(2016)
Int. J. Remote Sens
, vol.37
, Issue.10
, pp. 2149-2167
-
-
Othman, E.1
Bazi, Y.2
Alajlan, N.3
Alhichri, H.4
Melgani, F.5
-
21
-
-
84950141946
-
Transferring deep convolutional neural networks for the scene classification of high-resolution remote sensing imagery
-
[Online]
-
F. Hu, G.-S. Xia, J. Hu, and L. Zhang, "Transferring deep convolutional neural networks for the scene classification of high-resolution remote sensing imagery," Remote Sens., vol. 7, no. 11, pp. 14680-14707, 2015. [Online]. Available: http://-www.mdpi.com/2072-4292/7/11/14680
-
(2015)
Remote Sens
, vol.7
, Issue.11
, pp. 14680-14707
-
-
Hu, F.1
Xia, G.-S.2
Hu, J.3
Zhang, L.4
-
22
-
-
85027047340
-
Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images
-
Dec.
-
G. Cheng, P. Zhou, and J. Han, "Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 12, pp. 7405-7415, Dec. 2016.
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, Issue.12
, pp. 7405-7415
-
-
Cheng, G.1
Zhou, P.2
Han, J.3
-
24
-
-
84949921276
-
Deep learning earth observation classification using imagenet pretrained networks
-
Jan.
-
D. Marmanis, M. Datcu, T. Esch, and U. Stilla, "Deep learning earth observation classification using imagenet pretrained networks," IEEE Geosci. Remote Sens. Lett., vol. 13, no. 1, pp. 105-109, Jan. 2016.
-
(2016)
IEEE Geosci. Remote Sens. Lett.
, vol.13
, Issue.1
, pp. 105-109
-
-
Marmanis, D.1
Datcu, M.2
Esch, T.3
Stilla, U.4
-
25
-
-
84863271556
-
High-resolution satellite scene classification using a sparse coding based multiple feature combination
-
G. Sheng, W. Yang, T. Xu, and H. Sun, "High-resolution satellite scene classification using a sparse coding based multiple feature combination," Int. J. Remote Sens., vol. 33, no. 8, pp. 2395-2412, 2012.
-
(2012)
Int. J. Remote Sens
, vol.33
, Issue.8
, pp. 2395-2412
-
-
Sheng, G.1
Yang, W.2
Xu, T.3
Sun, H.4
-
26
-
-
84870903062
-
Automatic annotation of satellite images via multifeature joint sparse coding with spatial relation constraint
-
Jul.
-
X. Zheng, X. Sun, K. Fu, and H. Wang, "Automatic annotation of satellite images via multifeature joint sparse coding with spatial relation constraint," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 652-656, Jul. 2013.
-
(2013)
IEEE Geosci. Remote Sens. Lett.
, vol.10
, Issue.4
, pp. 652-656
-
-
Zheng, X.1
Sun, X.2
Fu, K.3
Wang, H.4
-
27
-
-
84881242291
-
A hierarchical scheme of multiple feature fusion for high-resolution satellite scene categorization
-
St. Petersburg, Russia, Jul.
-
W. Shao, W. Yang, G. S. Xia, and G. Liu, "A hierarchical scheme of multiple feature fusion for high-resolution satellite scene categorization," in Proc. 9th Int. Conf. Comput. Vis. Syst.-(ICVS), St. Petersburg, Russia, Jul. 2013, pp. 324-333.
-
(2013)
Proc. 9th Int. Conf. Comput. Vis. Syst.-(ICVS)
, pp. 324-333
-
-
Shao, W.1
Yang, W.2
Xia, G.S.3
Liu, G.4
-
28
-
-
84962585158
-
A spectral-structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery
-
Jun.
-
B. Zhao, Y. Zhong, and L. Zhang, "A spectral-structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery," ISPRS J. Photogram. Remote Sens., vol. 116, pp. 73-85, Jun. 2016.
-
(2016)
ISPRS J. Photogram. Remote Sens
, vol.116
, pp. 73-85
-
-
Zhao, B.1
Zhong, Y.2
Zhang, L.3
-
29
-
-
84959386343
-
Scene classification using local and global features with collaborative representation fusion
-
Jun.
-
J. Zou, W. Li, C. Chen, and Q. Du, "Scene classification using local and global features with collaborative representation fusion," Inf. Sci., vol. 348, pp. 209-226, Jun. 2016.
-
(2016)
Inf. Sci.
, vol.348
, pp. 209-226
-
-
Zou, J.1
Li, W.2
Chen, C.3
Du, Q.4
-
30
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Red Hook, NY, USA: Curran & Assoc. Inc.
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "ImageNet classification with deep convolutional neural networks," in Advances in Neural Information Processing Systems, vol. 25, F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Red Hook, NY, USA: Curran & Assoc. Inc, 2012, pp. 1097-1105.
-
(2012)
Advances in Neural Information Processing Systems
, vol.25
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
31
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
Jun.
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Rich feature hierarchies for accurate object detection and semantic segmentation," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2014, pp. 580-587.
-
(2014)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 580-587
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
32
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
Y. Jia et al., "Caffe: Convolutional architecture for fast feature embedding," in Proc. CoRR, 2014, pp. 675-678.
-
(2014)
Proc. CoRR
, pp. 675-678
-
-
Jia, Y.1
-
33
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
San Diego, CA, USA, May
-
K. Simonyan and A. Zisserman, "Very deep convolutional networks for large-scale image recognition," in Proc. Int. Conf. Learn. Represent. (ICLR), San Diego, CA, USA, May 2015, pp. 1-14.
-
(2015)
Proc. Int. Conf. Learn. Represent. (ICLR)
, pp. 1-14
-
-
Simonyan, K.1
Zisserman, A.2
-
34
-
-
85072028231
-
Return of the devil in the details: Delving deep into convolutional nets
-
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman, "Return of the devil in the details: Delving deep into convolutional nets," in Proc. British Mach. Vis. Conf. (BMVC), 2014.
-
(2014)
Proc. British Mach. Vis. Conf. (BMVC)
-
-
Chatfield, K.1
Simonyan, K.2
Vedaldi, A.3
Zisserman, A.4
-
35
-
-
0035309019
-
A shape- and texture-based enhanced Fisher classifier for face recognition
-
Apr.
-
C. Liu and H. Wechsler, "A shape- and texture-based enhanced Fisher classifier for face recognition," IEEE Trans. Image Process., vol. 10, no. 4, pp. 598-608, Apr. 2001.
-
(2001)
IEEE Trans. Image Process.
, vol.10
, Issue.4
, pp. 598-608
-
-
Liu, C.1
Wechsler, H.2
-
36
-
-
0036132482
-
Generalized K-L transform based combined feature extraction
-
J. Yang and J. Y. Yang, "Generalized K-L transform based combined feature extraction," Pattern Recognit., vol. 35, no. 1, pp. 295-297, 2002.
-
(2002)
Pattern Recognit.
, vol.35
, Issue.1
, pp. 295-297
-
-
Yang, J.1
Yang, J.Y.2
-
37
-
-
0037410689
-
Feature fusion: Parallel strategy vs. Serial strategy
-
Jun.
-
J. Yang, J.-Y. Yang, D. Zhang, and J.-F. Lu, "Feature fusion: Parallel strategy vs. serial strategy," Pattern Recognit., vol. 36, no. 6, pp. 1369-1381, Jun. 2003.
-
(2003)
Pattern Recognit.
, vol.36
, Issue.6
, pp. 1369-1381
-
-
Yang, J.1
Yang, J.-Y.2
Zhang, D.3
Lu, J.-F.4
-
38
-
-
25144439113
-
A new method of feature fusion and its application in image recognition
-
Dec.
-
Q.-S. Sun, S.-G. Zeng, Y. Liu, P.-A. Heng, and D.-S. Xia, "A new method of feature fusion and its application in image recognition," Pattern Recognit., vol. 38, no. 12, pp. 2437-2448, Dec. 2005.
-
(2005)
Pattern Recognit.
, vol.38
, Issue.12
, pp. 2437-2448
-
-
Sun, Q.-S.1
Zeng, S.-G.2
Liu, Y.3
Heng, P.-A.4
Xia, D.-S.5
-
39
-
-
84862808107
-
Feature-level fusion of fingerprint and fingervein for personal identification
-
Apr.
-
J. Yang and X. Zhang, "Feature-level fusion of fingerprint and fingervein for personal identification," Pattern Recognit. Lett., vol. 33, no. 5, pp. 623-628, Apr. 2012.
-
(2012)
Pattern Recognit. Lett.
, vol.33
, Issue.5
, pp. 623-628
-
-
Yang, J.1
Zhang, X.2
-
40
-
-
84976415868
-
Multi-feature fusion for thermal face recognition
-
Jul.
-
Y. Bi, M. Lv, Y. Wei, N. Guan, and W. Yi, "Multi-feature fusion for thermal face recognition," Infr. Phys. Technol., vol. 77, pp. 366-374, Jul. 2016.
-
(2016)
Infr. Phys. Technol.
, vol.77
, pp. 366-374
-
-
Bi, Y.1
Lv, M.2
Wei, Y.3
Guan, N.4
Yi, W.5
-
41
-
-
85014853773
-
Principles of multivariate analysis: A user's perspective
-
J. R. Schott, "Principles of multivariate analysis: A user's perspective," J. Amer. Statist. Assoc., vol. 97, no. 458, 2002.
-
(2002)
J. Amer. Statist. Assoc.
, vol.97
, Issue.458
-
-
Schott, J.R.1
-
42
-
-
84979073626
-
Discriminant correlation analysis: Real-time feature level fusion for multimodal biometric recognition
-
Sep.
-
M. Haghighat, M. Abdel-Mottaleb, and W. Alhalabi, "Discriminant correlation analysis: Real-time feature level fusion for multimodal biometric recognition," IEEE Trans. Inf. Forensics Security, vol. 11, no. 9, pp. 1984-1996, Sep. 2016.
-
(2016)
IEEE Trans. Inf. Forensics Security
, vol.11
, Issue.9
, pp. 1984-1996
-
-
Haghighat, M.1
Abdel-Mottaleb, M.2
Alhalabi, W.3
-
44
-
-
78650593938
-
Bag-of-visual-words and spatial extensions for land-use classification
-
New York, NY, USA
-
Y. Yang and S. Newsam, "Bag-of-visual-words and spatial extensions for land-use classification," in Proc. 18th SIGSPATIAL Int. Conf. Adv. Geograph. Inf. Syst., New York, NY, USA, 2010, pp. 270-279.
-
(2010)
Proc. 18th SIGSPATIAL Int. Conf. Adv. Geograph. Inf. Syst.
, pp. 270-279
-
-
Yang, Y.1
Newsam, S.2
-
45
-
-
85027941942
-
Land-use classification with compressive sensing multifeature fusion
-
Oct.
-
M. L. Mekhalfi, F. Melgani, Y. Bazi, and N. Alajlan, "Land-use classification with compressive sensing multifeature fusion," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 10, pp. 2155-2159, Oct. 2015.
-
(2015)
IEEE Geosci. Remote Sens. Lett.
, vol.12
, Issue.10
, pp. 2155-2159
-
-
Mekhalfi, M.L.1
Melgani, F.2
Bazi, Y.3
Alajlan, N.4
-
46
-
-
79955702502
-
LIBSVM: A library for support vector machines
-
Apr.
-
C. C. Chang and C. J. Lin, "LIBSVM: A library for support vector machines," ACM Trans. Intell. Syst. Technol., vol. 2, no. 3, Apr. 2011, Art. no. 27.
-
(2011)
ACM Trans. Intell. Syst. Technol.
, vol.2
, Issue.3
-
-
Chang, C.C.1
Lin, C.J.2
|