-
1
-
-
51749109992
-
Cloud detection with MODIS. Part II: Validation
-
S. A. Ackerman, R. E. Holz, R. Frey, E. W. Eloranta, B. C. Maddux, and M. McGill, "Cloud detection with MODIS. Part II: Validation," J. Atmos. Ocean. Technol., vol. 25, no. 7, pp. 1073-1086, 2008.
-
(2008)
J. Atmos. Ocean. Technol.
, vol.25
, Issue.7
, pp. 1073-1086
-
-
Ackerman, S.A.1
Holz, R.E.2
Frey, R.3
Eloranta, E.W.4
Maddux, B.C.5
McGill, M.6
-
2
-
-
0027789431
-
Automatic cloud detection applied to NOAA-11/AVHRR imagery
-
M. Derrien et al., "Automatic cloud detection applied to NOAA-11/AVHRR imagery," Remote Sens. Environ., vol. 46, no. 3, pp. 246-267, 1993.
-
(1993)
Remote Sens. Environ.
, vol.46
, Issue.3
, pp. 246-267
-
-
Derrien, M.1
-
3
-
-
77955321544
-
A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENμS, LANDSAT and SENTINEL-2 images
-
O. Hagolle, M. Huc, D. V. Pascual, and G. Dedieu, "A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENμS, LANDSAT and SENTINEL-2 images," Remote Sens. Environ., vol. 114, no. 8, pp. 1747-1755, 2010.
-
(2010)
Remote Sens. Environ.
, vol.114
, Issue.8
, pp. 1747-1755
-
-
Hagolle, O.1
Huc, M.2
Pascual, D.V.3
Dedieu, G.4
-
4
-
-
2042419832
-
Colour indices for the detection and differentiation of cloud types in infrared limb emission spectra
-
R. Spang, J. J. Remedios, and M. P. Barkley, "Colour indices for the detection and differentiation of cloud types in infrared limb emission spectra," Adv. Space Res., vol. 33, no. 7, pp. 1041-1047, 2004.
-
(2004)
Adv. Space Res.
, vol.33
, Issue.7
, pp. 1041-1047
-
-
Spang, R.1
Remedios, J.J.2
Barkley, M.P.3
-
5
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in Proc. Adv. Neural Inf. Process. Syst., 2012, pp. 1097-1105.
-
(2012)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
7
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
R. Collobert and J. Weston, "A unified architecture for natural language processing: Deep neural networks with multitask learning," in Proc. 25th Int. Conf. Mach. Learn., 2008, pp. 160-167.
-
(2008)
Proc. 25th Int. Conf. Mach. Learn.
, pp. 160-167
-
-
Collobert, R.1
Weston, J.2
-
8
-
-
84973911419
-
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
-
Jun.
-
K. He, X. Zhang, S. Ren, and J. Sun, "Delving deep into rectifiers: Surpassing human-level performance on imagenet classification," in Proc. IEEE Int. Conf. Comput. Vis., Jun. 2015, pp. 1026-1034.
-
(2015)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 1026-1034
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
9
-
-
84986274465
-
Deep residual learning for image recognition
-
Jun.
-
K. He, X. Zhang, S. Ren, and J. Sun, "Deep residual learning for image recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2016, pp. 770-778.
-
(2016)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 770-778
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
10
-
-
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., Jun. 2014, pp. 580-587.
-
(2014)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 580-587
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
11
-
-
84973890848
-
BoxSup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
-
Dec.
-
J. Dai, K. He, and J. Sun, "BoxSup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation," in Proc. IEEE Int. Conf. Comput. Vis., Dec. 2015, pp. 1635-1643.
-
(2015)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 1635-1643
-
-
Dai, J.1
He, K.2
Sun, J.3
-
12
-
-
84959205572
-
Fully convolutional networks for semantic segmentation
-
Jun.
-
J. Long, E. Shelhamer, and T. Darrell, "Fully convolutional networks for semantic segmentation," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2015, pp. 3431-3440.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit.
, pp. 3431-3440
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
13
-
-
84990051868
-
-
Unpublished paper, [Online]
-
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille. "DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs." Unpublished paper, 2016. [Online]. Available: https://arxiv.org/abs/1606.00915
-
(2016)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
-
-
Chen, L.-C.1
Papandreou, G.2
Kokkinos, I.3
Murphy, K.4
Yuille, A.L.5
-
15
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
Jun.
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, "ImageNet: A large-scale hierarchical image database," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2009, pp. 248-255.
-
(2009)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
16
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
M. D. Zeiler and R. Fergus, "Visualizing and understanding convolutional networks," in Proc. Eur. Conf. Comput. Vis., 2014, pp. 818-833.
-
(2014)
Proc. Eur. Conf. Comput. Vis.
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
18
-
-
84959236250
-
Hypercolumns for object segmentation and fine-grained localization
-
Jun.
-
B. Hariharan, P. A. Arbeláez, R. B. Girshick, and J. Malik, "Hypercolumns for object segmentation and fine-grained localization," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2015, pp. 447-456.
-
(2015)
Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, pp. 447-456
-
-
Hariharan, B.1
Arbeláez, P.A.2
Girshick, R.B.3
Malik, J.4
-
19
-
-
84969584486
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
S. Ioffe and C. Szegedy, "Batch normalization: Accelerating deep network training by reducing internal covariate shift," in Proc. Int. Conf. Mach. Learn., 2015, pp. 448-456.
-
(2015)
Proc. Int. Conf. Mach. Learn.
, pp. 448-456
-
-
Ioffe, S.1
Szegedy, C.2
-
20
-
-
84902076061
-
Cloud detection of RGB color aerial photographs by progressive refinement scheme
-
Nov.
-
Q. Zhang and C. Xiao, "Cloud detection of RGB color aerial photographs by progressive refinement scheme," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 7264-7275, Nov. 2014.
-
(2014)
IEEE Trans. Geosci. Remote Sens.
, vol.52
, Issue.11
, pp. 7264-7275
-
-
Zhang, Q.1
Xiao, C.2
|