-
1
-
-
84872918592
-
Geographic image retrieval using local invariant features
-
Yang Y. Newsam S. Geographic image retrieval using local invariant features IEEE Trans. Geosci. Remote Sens. 2013 51 818 832 10.1109/TGRS.2012.2205158
-
(2013)
IEEE Trans. Geosci. Remote Sens
, vol.51
, pp. 818-832
-
-
Yang, Y.1
Newsam, S.2
-
2
-
-
85019770658
-
Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion
-
Li Y. Zhang Y. Tao C. Zhu H. Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion Remote Sens. 2016 8 709 10.3390/rs8090709
-
(2016)
Remote Sens
, vol.8
-
-
Li, Y.1
Zhang, Y.2
Tao, C.3
Zhu, H.4
-
3
-
-
84942037053
-
Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives
-
Demir B. Bruzzone L. Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives IEEE Trans. Geosci. Remote Sens. 2016 54 892 904 10.1109/TGRS.2015.2469138
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, pp. 892-904
-
-
Demir, B.1
Bruzzone, L.2
-
4
-
-
0036400412
-
Retrieval of remotely sensed imagery using spectral information content
-
Toronto, ON, Canada, 24–28 June 2002
-
Bretschneider T. Cavet R. Kao O. Retrieval of remotely sensed imagery using spectral information content Proceedings of the IEEE International Geoscience and Remote Sensing Symposium Toronto, ON, Canada 24–28 June 2002 Volume 4 2253 2255
-
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium
, vol.4
, pp. 2253-2255
-
-
Bretschneider, T.1
Cavet, R.2
Kao, O.3
-
5
-
-
85006957628
-
-
Springer, New York, NY, USA
-
Geng W. Zhang J. Zhuo L. Liu J. Chen L. Creating Spectral Words for Large-Scale Hyperspectral Remote Sensing Image Retrieval. Pacific Rim Conference on Multimedia Springer New York, NY, USA 2016 116 125
-
(2016)
Creating Spectral Words for Large-Scale Hyperspectral Remote Sensing Image Retrieval. Pacific Rim Conference on Multimedia
, pp. 116-125
-
-
Geng, W.1
Zhang, J.2
Zhuo, L.3
Liu, J.4
Chen, L.5
-
6
-
-
7744241563
-
Remote sensing imagery retrieval based-on Gabor texture feature classification
-
Beijing, China, 31 August–4 September 2004
-
Hongyu Y. Bicheng L. Wen C. Remote sensing imagery retrieval based-on Gabor texture feature classification Proceedings of the 7th IEEE International Conference on Signal Beijing, China 31 August–4 September 2004 Volume 1 733 736
-
Proceedings of the 7th IEEE International Conference on Signal
, vol.1
, pp. 733-736
-
-
Hongyu, Y.1
Bicheng, L.2
Wen, C.3
-
7
-
-
84896319674
-
Remote sensing image retrieval with global morphological texture descriptors
-
Aptoula E. Remote sensing image retrieval with global morphological texture descriptors IEEE Trans. Geosci. Remote Sens. 2014 52 3023 3034 10.1109/TGRS.2013.2268736
-
(2014)
IEEE Trans. Geosci. Remote Sens
, vol.52
, pp. 3023-3034
-
-
Aptoula, E.1
-
8
-
-
85014261743
-
Effective Image Retrieval Using Texture Elements and Color Fuzzy Correlogram
-
Yang F.P. Hao M.L. Effective Image Retrieval Using Texture Elements and Color Fuzzy Correlogram Information 2017 8 27 10.3390/info8010027
-
(2017)
Information
, vol.8
-
-
Yang, F.P.1
Hao, M.L.2
-
10
-
-
79955623044
-
Entropy-balanced bitmap tree for shape-based object retrieval from large-scale satellite imagery databases
-
Scott G.J. Klaric M.N. Davis C.H. Shyu C.R. Entropy-balanced bitmap tree for shape-based object retrieval from large-scale satellite imagery databases IEEE Trans. Geosci. Remote Sens. 2011 49 1603 1616 10.1109/TGRS.2010.2088404
-
(2011)
IEEE Trans. Geosci. Remote Sens
, vol.49
, pp. 1603-1616
-
-
Scott, G.J.1
Klaric, M.N.2
Davis, C.H.3
Shyu, C.R.4
-
11
-
-
84925784649
-
An improved Bag-of-Words framework for remote sensing image retrieval in large-scale image databases
-
Yang J. Liu J. Dai Q. An improved Bag-of-Words framework for remote sensing image retrieval in large-scale image databases Int. J. Digit. Earth 2015 8 273 292 10.1080/17538947.2014.882420
-
(2015)
Int. J. Digit. Earth
, vol.8
, pp. 273-292
-
-
Yang, J.1
Liu, J.2
Dai, Q.3
-
12
-
-
84976497733
-
A three-layered graph-based learning approach for remote sensing image retrieval
-
Wang Y. Zhang L. Tong X. Zhang L. Zhang Z. Liu H. Xing X. Mathiopoulos P.T. A three-layered graph-based learning approach for remote sensing image retrieval IEEE Trans. Geosci. Remote Sens. 2016 54 6020 6034 10.1109/TGRS.2016.2579648
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, pp. 6020-6034
-
-
Wang, Y.1
Zhang, L.2
Tong, X.3
Zhang, L.4
Zhang, Z.5
Liu, H.6
Xing, X.7
Mathiopoulos, P.T.8
-
14
-
-
84971474731
-
Texture Retrieval from VHR Optical Remote Sensed Images Using the Local Extrema Descriptor with Application to Vineyard Parcel Detection
-
Pham M.T. Mercier G. Regniers O. Michel J. Texture Retrieval from VHR Optical Remote Sensed Images Using the Local Extrema Descriptor with Application to Vineyard Parcel Detection Remote Sens. 2016 8 368 10.3390/rs8050368
-
(2016)
Remote Sens
, vol.8
-
-
Pham, M.T.1
Mercier, G.2
Regniers, O.3
Michel, J.4
-
15
-
-
84977566735
-
Local Structure Learning in High Resolution Remote Sensing Image Retrieval
-
Du Z. Li X. Lu X. Local Structure Learning in High Resolution Remote Sensing Image Retrieval Neurocomputing 2016 207 813 822 10.1016/j.neucom.2016.05.061
-
(2016)
Neurocomputing
, vol.207
, pp. 813-822
-
-
Du, Z.1
Li, X.2
Lu, X.3
-
16
-
-
84963976320
-
A Novel Local Structure Descriptor for Color Image Retrieval
-
Zeng Z. A Novel Local Structure Descriptor for Color Image Retrieval Information 2016 7 9 10.3390/info7010009
-
(2016)
Information
, vol.7
-
-
Zeng, Z.1
-
17
-
-
84865459182
-
Remotely sensed image retrieval based on region-level semantic mining
-
Liu T. Zhang L. Li P. Lin H. Remotely sensed image retrieval based on region-level semantic mining EURASIP J. Image Video Process. 2012 2012 4 10.1186/1687-5281-2012-4
-
(2012)
EURASIP J. Image Video Process
, vol.2012
, pp. 4
-
-
Liu, T.1
Zhang, L.2
Li, P.3
Lin, H.4
-
18
-
-
84885022985
-
Remote Sensing Image Retrieval by Scene Semantic Matching
-
Wang M. Song T. Remote Sensing Image Retrieval by Scene Semantic Matching IEEE Trans. Geosci. Remote Sens. 2013 51 2874 2886 10.1109/TGRS.2012.2217397
-
(2013)
IEEE Trans. Geosci. Remote Sens
, vol.51
, pp. 2874-2886
-
-
Wang, M.1
Song, T.2
-
19
-
-
85145437362
-
A Novel Method for Satellite Image Retrieval using Semantic Mining and Hashing
-
John L.M. Bhandari K.A. A Novel Method for Satellite Image Retrieval using Semantic Mining and Hashing Int. J. Comput. Appl. 2016 147 33 36
-
(2016)
Int. J. Comput. Appl
, vol.147
, pp. 33-36
-
-
John, L.M.1
Bhandari, K.A.2
-
20
-
-
85032751458
-
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
-
Hinton G. Deng L. Yu D. Dahl G.E. Mohamed A. Jaitly N. Senior A. Vanhoucke V. Nguyen P. Sainath T.N. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups IEEE Signal Process. Mag. 2012 29 82 97 10.1109/MSP.2012.2205597
-
(2012)
IEEE Signal Process. Mag
, vol.29
, pp. 82-97
-
-
Hinton, G.1
Deng, L.2
Yu, D.3
Dahl, G.E.4
Mohamed, A.5
Jaitly, N.6
Senior, A.7
Vanhoucke, V.8
Nguyen, P.9
Sainath, T.N.10
-
21
-
-
84938725971
-
Feature Learning in Deep Neural Networks—Studies on Speech Recognition Tasks
-
Yu D. Seltzer M.L. Li J. Huang J.T. Seide F. Feature Learning in Deep Neural Networks—Studies on Speech Recognition Tasks arXiv 2013 arXiv:1301.3605
-
(2013)
arXiv
-
-
Yu, D.1
Seltzer, M.L.2
Li, J.3
Huang, J.T.4
Seide, F.5
-
23
-
-
84903712031
-
Visualizing and Understanding Convolutional Networks
-
Zeiler M.D. Fergus R. Visualizing and Understanding Convolutional Networks arXiv 2013 arXiv:1311.2901v3
-
(2013)
arXiv
-
-
Zeiler, M.D.1
Fergus, R.2
-
24
-
-
85027047340
-
Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images
-
Cheng G. Zhou P. Han J. Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images IEEE Trans. Geosci. Remote Sens. 2016 54 7405 7415 10.1109/TGRS.2016.2601622
-
(2016)
IEEE Trans. Geosci. Remote Sens
, vol.54
, pp. 7405-7415
-
-
Cheng, G.1
Zhou, P.2
Han, J.3
-
25
-
-
85010214408
-
Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks
-
Long Y. Gong Y. Xiao Z. Liu Q. Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks IEEE Trans. Geosci. Remote Sens. 2017 55 2486 2498 10.1109/TGRS.2016.2645610
-
(2017)
IEEE Trans. Geosci. Remote Sens
, vol.55
, pp. 2486-2498
-
-
Long, Y.1
Gong, Y.2
Xiao, Z.3
Liu, Q.4
-
27
-
-
84926179397
-
Linguistic Regularities in Continuous Space Word Representations
-
Atlanta, GA, USA, 9–15 June 2013
-
Mikolov T. Yih W.T. Zweig G. Linguistic Regularities in Continuous Space Word Representations Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Atlanta, GA, USA 9–15 June 2013 Volume 13 746 751
-
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
, vol.13
, pp. 746-751
-
-
Mikolov, T.1
Yih, W.T.2
Zweig, G.3
-
28
-
-
84940766118
-
High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder
-
Zhou W. Shao Z. Diao C. Cheng Q. High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder Remote Sens. Lett. 2015 6 775 783 10.1080/2150704X.2015.1074756
-
(2015)
Remote Sens. Lett
, vol.6
, pp. 775-783
-
-
Zhou, W.1
Shao, Z.2
Diao, C.3
Cheng, Q.4
-
29
-
-
85145438223
-
Visual descriptors for content-based retrieval of remote sensing images
-
Napoletano P. Visual descriptors for content-based retrieval of remote sensing images arXiv 2016 arXiv:1602.00970
-
(2016)
arXiv
-
-
Napoletano, P.1
-
30
-
-
85019848798
-
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
-
Zhou W. Newsam S. Li C. Shao Z. Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval Remote Sens. 2017 9 489 10.3390/rs9050489
-
(2017)
Remote Sens
, vol.9
-
-
Zhou, W.1
Newsam, S.2
Li, C.3
Shao, Z.4
-
34
-
-
84986247435
-
Learning deep features for discriminative localization
-
Seattle, WA, USA, 27–30 June 2016
-
Zhou B. Khosla A. Lapedriza A. Oliva A. Torralba A. Learning deep features for discriminative localization Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Seattle, WA, USA 27–30 June 2016 2921 2929
-
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 2921-2929
-
-
Zhou, B.1
Khosla, A.2
Lapedriza, A.3
Oliva, A.4
Torralba, A.5
-
35
-
-
85030259839
-
Grad-cam: Why did you say that? visual explanations from deep networks via gradient-based localization
-
Selvaraju R.R. Das A. Vedantam R. Cogswell M. Parikh D. Batra D. Grad-cam: Why did you say that? visual explanations from deep networks via gradient-based localization arXiv 2016 arXiv:1610.02391
-
(2016)
arXiv
-
-
Selvaraju, R.R.1
Das, A.2
Vedantam, R.3
Cogswell, M.4
Parikh, D.5
Batra, D.6
-
36
-
-
84863260791
-
Structural High-resolution Satellite Image Indexing
-
Vienna, Austria, 5–7 July 2010
-
Xia G.S. Yang W. Delon J. Gousseau Y. Sun H. Maître H. Structural High-resolution Satellite Image Indexing Proceedings of the ISPRS TC VII Symposium—100 Years ISPRS Vienna, Austria 5–7 July 2010 298 303
-
Proceedings of the ISPRS TC VII Symposium—100 Years ISPRS
, pp. 298-303
-
-
Xia, G.S.1
Yang, W.2
Delon, J.3
Gousseau, Y.4
Sun, H.5
Maître, H.6
-
38
-
-
84973911419
-
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
-
Boston, MA, USA, 7–12 June 2015
-
He K. Zhang X. Ren S. Sun J. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification Proceedings of the IEEE International Conference on Computer Vision Boston, MA, USA 7–12 June 2015 1026 1034
-
Proceedings of the IEEE International Conference on Computer Vision
, pp. 1026-1034
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
39
-
-
33746600649
-
Reducing the Dimensionality of Data with Neural Networks
-
16873662
-
Hinton G.E. Salakhutdinov R.R. Reducing the Dimensionality of Data with Neural Networks Science 2006 313 504 10.1126/science.1127647 16873662
-
(2006)
Science
, vol.313
, pp. 504
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
40
-
-
84925410541
-
Very deep convolutional networks for large-scale image recognition
-
Simonyan K. Zisserman A. Very deep convolutional networks for large-scale image recognition arXiv 2014 arXiv:1409.1556
-
(2014)
arXiv
-
-
Simonyan, K.1
Zisserman, A.2
|