-
1
-
-
84959205572
-
Fully Convolutional Networks for Semantic Segmentation
-
Boston, MA, USA, 7-12 June
-
Long, J.; Shelhamer, E.; Darrell, T. Fully Convolutional Networks for Semantic Segmentation. In Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 7-12 June 2015; pp. 3431-3440
-
(2015)
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 3431-3440
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
2
-
-
84921069139
-
The Pascal Visual Object Classes Challenge: A Retrospective
-
Everingham, M.; Eslami, S.M.A.; Gool, L.V.; Williams, C.K.I.; Winn, J.; Zisserman, A. The Pascal Visual Object Classes Challenge: A Retrospective. Int. J. Comput. Vis. 2014, 111, 98-136
-
(2014)
Int. J. Comput. Vis
, vol.111
, pp. 98-136
-
-
Everingham, M.1
Eslami, S.M.A.2
Gool, L.V.3
Williams, C.K.I.4
Winn, J.5
Zisserman, A.6
-
3
-
-
84937834115
-
Microsoft COCO: Common Objects in Context
-
Zurich, Switzerland, 6-12 September
-
Lin, T.Y.; Maire, M.; Belongie, S.; Hays, J.; Perona, P.; Ramanan, D.; Dollár, P.; Zitnick, C.L. Microsoft COCO: Common Objects in Context. In Proceedings of the European Conference on Computer Vision, Zurich, Switzerland, 6-12 September 2014; pp. 1-15
-
(2014)
Proceedings of the European Conference on Computer Vision
, pp. 1-15
-
-
Lin, T.Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Dollár, P.7
Zitnick, C.L.8
-
4
-
-
85026995922
-
Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest Part A: 2-D Contest
-
Campos-Taberner, M.; Romero-Soriano, A.; Gatta, C.; Camps-Valls, G.; Lagrange, A.; Le Saux, B.; Beaupère, A.; Boulch, A.; Chan-Hon-Tong, A.; Herbin, S.; et al. Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest Part A: 2-D Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2016, 9, 1-13
-
(2016)
IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens
, vol.9
, pp. 1-13
-
-
Campos-Taberner, M.1
Romero-Soriano, A.2
Gatta, C.3
Camps-Valls, G.4
Lagrange, A.5
Le Saux, B.6
Beaupère, A.7
Boulch, A.8
Chan-Hon-Tong, A.9
Herbin, S.10
-
5
-
-
85007500060
-
How Useful is Region-Based Classification of Remote Sensing Images in a Deep Learning Framework?
-
Beijing, China, 10-15 July
-
Audebert, N.; Le Saux, B.; Lefèvre, S. How Useful is Region-Based Classification of Remote Sensing Images in a Deep Learning Framework? In Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 10-15 July 2016; pp. 5091-5094
-
(2016)
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
, pp. 5091-5094
-
-
Audebert, N.1
Le Saux, B.2
Lefèvre, S.3
-
7
-
-
85019850780
-
Semantic Segmentation of Aerial Images with an Ensemble of CNNs
-
Marmanis, D.; Wegner, J.D.; Galliani, S.; Schindler, K.; Datcu, M.; Stilla, U. Semantic Segmentation of Aerial Images with an Ensemble of CNNs. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2016, 3, 473-480
-
(2016)
ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci
, vol.3
, pp. 473-480
-
-
Marmanis, D.1
Wegner, J.D.2
Galliani, S.3
Schindler, K.4
Datcu, M.5
Stilla, U.6
-
8
-
-
84940417787
-
Effective Semantic Pixel Labelling with Convolutional Networks and Conditional Random Fields
-
Boston, MA, USA, 7-12 June
-
Paisitkriangkrai, S.; Sherrah, J.; Janney, P.; Hengel, A.V.D. Effective Semantic Pixel Labelling with Convolutional Networks and Conditional Random Fields. In Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Boston, MA, USA, 7-12 June 2015; pp. 36-43
-
(2015)
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
, pp. 36-43
-
-
Paisitkriangkrai, S.1
Sherrah, J.2
Janney, P.3
Hengel, A.V.D.4
-
9
-
-
85009255948
-
The ISPRS benchmark on urban object classification and 3D building reconstruction
-
Rottensteiner, F.; Sohn, G.; Jung, J.; Gerke, M.; Baillard, C.; Benitez, S.; Breitkopf, U. The ISPRS benchmark on urban object classification and 3D building reconstruction. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2012, 1, 293-298
-
(2012)
ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci
, vol.1
, pp. 293-298
-
-
Rottensteiner, F.1
Sohn, G.2
Jung, J.3
Gerke, M.4
Baillard, C.5
Benitez, S.6
Breitkopf, U.7
-
10
-
-
79958822032
-
The DGPF test on digital aerial camera evaluation-Overview and test design
-
Cramer, M. The DGPF test on digital aerial camera evaluation-Overview and test design. Photogramm. Fernerkund. Geoinf. 2010, 2, 73-82
-
(2010)
Photogramm. Fernerkund. Geoinf
, vol.2
, pp. 73-82
-
-
Cramer, M.1
-
11
-
-
84940417790
-
Do Deep Features Generalize from Everyday Objects to Remote Sensing and Aerial Scenes Domains?
-
Boston, MA, USA, 7-12 June
-
Penatti, O.A.B.; Nogueira, K.; dos Santos, J.A. Do Deep Features Generalize from Everyday Objects to Remote Sensing and Aerial Scenes Domains? In Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Boston, MA, USA, 7-12 June 2015; pp. 44-51
-
(2015)
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
, pp. 44-51
-
-
Penatti, O.A.B.1
Nogueira, K.2
dos Santos, J.A.3
-
13
-
-
84948957848
-
Vehicle Detection in Aerial Imagery: A small target detection benchmark
-
Razakarivony, S.; Jurie, F. Vehicle Detection in Aerial Imagery: A small target detection benchmark. J. Vis. Commun. Image Represent. 2016, 34, 187-203
-
(2016)
J. Vis. Commun. Image Represent
, vol.34
, pp. 187-203
-
-
Razakarivony, S.1
Jurie, F.2
-
14
-
-
84962489522
-
Benchmarking Classification of Earth-Observation Data: From Learning Explicit Features to Convolutional Networks
-
Milan, Italy, 26-31 July
-
Lagrange, A.; Saux, B.L.; Beaupère, A.; Boulch, A.; Chan-Hon-Tong, A.; Herbin, S.; Randrianarivo, H.; Ferecatu, M. Benchmarking Classification of Earth-Observation Data: From Learning Explicit Features to Convolutional Networks. In Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26-31 July 2015; pp. 4173-4176
-
(2015)
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
, pp. 4173-4176
-
-
Lagrange, A.1
Saux, B.L.2
Beaupère, A.3
Boulch, A.4
Chan-Hon-Tong, A.5
Herbin, S.6
Randrianarivo, H.7
Ferecatu, M.8
-
15
-
-
85083954148
-
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
-
San Diego, CA, USA, 7-9 May
-
Chen, L.C.; Papandreou, G.; Kokkinos, I.; Murphy, K.; Yuille, A. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. In Proceedings of the International Conference on Learning Representations, San Diego, CA, USA, 7-9 May 2015
-
(2015)
Proceedings of the International Conference on Learning Representations
-
-
Chen, L.C.1
Papandreou, G.2
Kokkinos, I.3
Murphy, K.4
Yuille, A.5
-
16
-
-
84973861983
-
Conditional Random Fields as Recurrent Neural Networks
-
Santiago, Chile, 7-13 December
-
Zheng, S.; Jayasumana, S.; Romera-Paredes, B.; Vineet, V.; Su, Z.; Du, D.; Huang, C.; Torr, P.H.S. Conditional Random Fields as Recurrent Neural Networks. In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 7-13 December 2015; pp. 1529-1537
-
(2015)
Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV)
, pp. 1529-1537
-
-
Zheng, S.1
Jayasumana, S.2
Romera-Paredes, B.3
Vineet, V.4
Su, Z.5
Du, D.6
Huang, C.7
Torr, P.H.S.8
-
18
-
-
85007415739
-
Fully Convolutional Neural Networks for Remote Sensing Image Classification
-
Beijing, China, 10-15 July
-
Maggiori, E.; Tarabalka, Y.; Charpiat, G.; Alliez, P. Fully Convolutional Neural Networks for Remote Sensing Image Classification. In Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 10-15 July 2016; pp. 5071-5074
-
(2016)
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
, pp. 5071-5074
-
-
Maggiori, E.1
Tarabalka, Y.2
Charpiat, G.3
Alliez, P.4
-
19
-
-
85016026118
-
-
Springer: Cham, Switzerland
-
Audebert, N.; Le Saux, B.; Lefèvre, S. Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. In Proceedings of the Computer Vision-ACCV, Taipei, Taiwan, 20-24 November 2016; Springer: Cham, Switzerland, 2016; pp. 180-196
-
(2016)
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks. In Proceedings of the Computer Vision-ACCV, Taipei, Taiwan, 20-24 November 2016
, pp. 180-196
-
-
Audebert, N.1
Le Saux, B.2
Lefèvre, S.3
-
20
-
-
80955124012
-
Local Feature Based Supervised Object Detection: Sampling, Learning and Detection Strategies
-
Vancouver, BC, Canada, 24-29 July
-
Michel, J.; Grizonnet, M.; Inglada, J.; Malik, J.; Bricier, A.; Lahlou, O. Local Feature Based Supervised Object Detection: Sampling, Learning and Detection Strategies. In Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada, 24-29 July 2011; pp. 2381-2384
-
(2011)
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium
, pp. 2381-2384
-
-
Michel, J.1
Grizonnet, M.2
Inglada, J.3
Malik, J.4
Bricier, A.5
Lahlou, O.6
-
21
-
-
84871705580
-
Vehicle Detection from Aerial Imagery
-
Shanghai, China, 9-13 May
-
Gleason, J.; Nefian, A.V.; Bouyssounousse, X.; Fong, T.; Bebis, G. Vehicle Detection from Aerial Imagery. In Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, 9-13 May 2011; pp. 2065-2070
-
(2011)
Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA)
, pp. 2065-2070
-
-
Gleason, J.1
Nefian, A.V.2
Bouyssounousse, X.3
Fong, T.4
Bebis, G.5
-
22
-
-
84894257516
-
Urban Structure Detection with Deformable Part-Based Models
-
Melbourne, Australia, 21-26 July
-
Randrianarivo, H.; Saux, B.L.; Ferecatu, M. Urban Structure Detection with Deformable Part-Based Models. In Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, Melbourne, Australia, 21-26 July 2013; pp. 200-203
-
(2013)
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS
, pp. 200-203
-
-
Randrianarivo, H.1
Saux, B.L.2
Ferecatu, M.3
-
23
-
-
84930872286
-
Pose-invariant vehicle identification in aerial electro-optical imagery
-
Janney, P.; Booth, D. Pose-invariant vehicle identification in aerial electro-optical imagery. Mach. Vis. Appl. 2015, 26, 575-591
-
(2015)
Mach. Vis. Appl
, vol.26
, pp. 575-591
-
-
Janney, P.1
Booth, D.2
-
24
-
-
85017655233
-
Contextual Discriminatively Trained Model Mixture for Object Detection in Aerial Images
-
Santa Cruz de Tenerife, Spain, 15-17 March
-
Randrianarivo, H.; Saux, B.L.; Ferecatu, M.; Crucianu, M. Contextual Discriminatively Trained Model Mixture for Object Detection in Aerial Images. In Proceedings of the International Conference on Big Data from Space (BiDS'16), Santa Cruz de Tenerife, Spain, 15-17 March 2016
-
(2016)
Proceedings of the International Conference on Big Data from Space (BiDS'16)
-
-
Randrianarivo, H.1
Saux, B.L.2
Ferecatu, M.3
Crucianu, M.4
-
25
-
-
84963679988
-
Aerial Car Detection and Urban Understanding
-
Adelaide, Australia, 23-25 November
-
Kamenetsky, D.; Sherrah, J. Aerial Car Detection and Urban Understanding. In Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Adelaide, Australia, 23-25 November 2015; pp. 1-8
-
(2015)
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
, pp. 1-8
-
-
Kamenetsky, D.1
Sherrah, J.2
-
26
-
-
84901322878
-
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
-
Chen, X.; Xiang, S.; Liu, C.L.; Pan, C.H. Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks. IEEE Geosci. Remote Sens. Lett. 2014, 11, 1797-1801
-
(2014)
IEEE Geosci. Remote Sens. Lett
, vol.11
, pp. 1797-1801
-
-
Chen, X.1
Xiang, S.2
Liu, C.L.3
Pan, C.H.4
-
27
-
-
68649090261
-
Object-based detection and classification of vehicles from high-resolution aerial photography
-
Holt, A.C.; Seto, E.Y.; Rivard, T.; Gong, P. Object-based detection and classification of vehicles from high-resolution aerial photography. Photogramm. Eng. Remote Sens. 2009, 75, 871-880
-
(2009)
Photogramm. Eng. Remote Sens
, vol.75
, pp. 871-880
-
-
Holt, A.C.1
Seto, E.Y.2
Rivard, T.3
Gong, P.4
-
28
-
-
58149199733
-
Classification-based vehicle detection in high-resolution satellite images
-
Eikvil, L.; Aurdal, L.; Koren, H. Classification-based vehicle detection in high-resolution satellite images. ISPRS J. Photogramm. Remote Sens. 2009, 64, 65-72
-
(2009)
ISPRS J. Photogramm. Remote Sens
, vol.64
, pp. 65-72
-
-
Eikvil, L.1
Aurdal, L.2
Koren, H.3
-
29
-
-
85017617990
-
On the Usability of Deep Networks for Object-Based Image Analysis
-
Enschede, The Netherlands, 22 September
-
Audebert, N.; Le Saux, B.; Lefèvre, S. On the Usability of Deep Networks for Object-Based Image Analysis. In Proceedings of the International Conference on Geo-Object based Image Analysis (GEOBIA16), Enschede, The Netherlands, 22 September 2016
-
(2016)
Proceedings of the International Conference on Geo-Object based Image Analysis (GEOBIA16)
-
-
Audebert, N.1
Le Saux, B.2
Lefèvre, S.3
-
31
-
-
84947041871
-
ImageNet Large Scale Visual Recognition Challenge
-
Russakovsky, O.; Deng, J.; Su, H.; Krause, J.; Satheesh, S.; Ma, S.; Huang, Z.; Karpathy, A.; Khosla, A.; Bernstein, M.; Berg, A.C.; Fei-Fei, L. ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 2015, 115, 211-252
-
(2015)
Int. J. Comput. Vis
, vol.115
, pp. 211-252
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
32
-
-
84969584486
-
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
-
Lille, France, 6-11 July
-
Ioffe, S.; Szegedy, C. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In Proceedings of the 32nd International Conference on Machine Learning, Lille, France, 6-11 July 2015; pp. 448-456
-
(2015)
Proceedings of the 32nd International Conference on Machine Learning
, pp. 448-456
-
-
Ioffe, S.1
Szegedy, C.2
-
33
-
-
84973879016
-
Learning Deconvolution Network for Semantic Segmentation
-
Santiago, Chile, 7-13 December
-
Noh, H.; Hong, S.; Han, B. Learning Deconvolution Network for Semantic Segmentation. In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 7-13 December 2015; pp. 1520-1528
-
(2015)
Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV)
, pp. 1520-1528
-
-
Noh, H.1
Hong, S.2
Han, B.3
-
34
-
-
85017603808
-
-
arXiv:1612.01337
-
Marmanis, D.; Schindler, K.; Wegner, J.D.; Galliani, S.; Datcu, M.; Stilla, U. Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection. arXiv 2016, arXiv:1612.01337
-
(2016)
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection. arXiv
-
-
Marmanis, D.1
Schindler, K.2
Wegner, J.D.3
Galliani, S.4
Datcu, M.5
Stilla, U.6
-
35
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Lecun, Y.; Bottou, L.; Bengio, Y.; Haffner, P. Gradient-based learning applied to document recognition. Proc. IEEE 1998, 86, 2278-2324
-
(1998)
Proc. IEEE
, vol.86
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
36
-
-
84987949112
-
Deep Feature Representations for High-Resolution Remote Sensing Scene Classification
-
Guangzhou, China, 4-6 July
-
Zhou, W.; Shao, Z.; Cheng, Q. Deep Feature Representations for High-Resolution Remote Sensing Scene Classification. In Proceedings of the 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA), Guangzhou, China, 4-6 July 2016; pp. 338-342
-
(2016)
Proceedings of the 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA)
, pp. 338-342
-
-
Zhou, W.1
Shao, Z.2
Cheng, Q.3
-
37
-
-
84876231242
-
ImageNet Classification with Deep Convolutional Neural Networks
-
Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q., Eds.; Curran Associates, Inc.: Red Hook, NY, USA
-
Krizhevsky, A.; Sutskever, I.; Hinton, G.E. ImageNet Classification with Deep Convolutional Neural Networks. In Advances in Neural Information Processing Systems 25; Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q., Eds.; Curran Associates, Inc.: Red Hook, NY, USA, 2012; pp. 1097-1105
-
(2012)
Advances in Neural Information Processing Systems 25
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
38
-
-
0000442474
-
-
Optical Engineering New York-Marcel Dekker Inc.: New York, NY, USA
-
Beucher, S.; Meyer, F. The Morphological Approach to Segmentation: The Watershed Transformation; Optical Engineering New York-Marcel Dekker Inc.: New York, NY, USA, 1992; Volume 34, pp. 433-481
-
(1992)
The Morphological Approach to Segmentation: The Watershed Transformation
, vol.34
, pp. 433-481
-
-
Beucher, S.1
Meyer, F.2
-
40
-
-
84904163933
-
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
-
Srivastava, N.; Hinton, G.; Krizhevsky, A.; Sutskever, I.; Salakhutdinov, R. Dropout: A Simple Way to Prevent Neural Networks from Overfitting. J. Mach. Learn. Res. 2014, 15, 1929-1958
-
(2014)
J. Mach. Learn. Res
, vol.15
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
41
-
-
84986274465
-
Deep Residual Learning for Image Recognition
-
Seattle, WA, USA, 27-30 June
-
He, K.; Zhang, X.; Ren, S.; Sun, J. Deep Residual Learning for Image Recognition. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 27-30 June 2016; pp. 770-778
-
(2016)
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 770-778
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
42
-
-
84976403023
-
Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances
-
Tuia, D.; Persello, C.; Bruzzone, L. Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances. IEEE Geosci. Remote Sens. Mag. 2016, 4, 41-57
-
(2016)
IEEE Geosci. Remote Sens. Mag
, vol.4
, pp. 41-57
-
-
Tuia, D.1
Persello, C.2
Bruzzone, L.3
-
45
-
-
84919941118
-
Representation Learning for Contextual Object and Region Detection in Remote Sensing
-
Stockholm, Sweden, 24-28 August
-
Firat, O.; Can, G.; Vural, F.T.Y. Representation Learning for Contextual Object and Region Detection in Remote Sensing. In Proceedings of the 2014 22nd International Conference on Pattern Recognition, Stockholm, Sweden, 24-28 August 2014, pp. 3708-3713
-
(2014)
In Proceedings of the 2014 22nd International Conference on Pattern Recognition
, pp. 3708-3713
-
-
Firat, O.1
Can, G.2
Vural, F.T.Y.3
|