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Volumn 8, Issue 7, 2016, Pages

Fast binary coding for the scene classification of high-resolution remote sensing imagery

Author keywords

Binary coding; Feature representation; Filter banks; High resolution remote sensing images; Scene classification

Indexed keywords

BINARY CODES; CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS); COMPUTATIONAL COMPLEXITY; FILTER BANKS; IMAGE CLASSIFICATION; IMAGE CODING; IMAGE RECONSTRUCTION; INFORMATION RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; OBJECT RECOGNITION;

EID: 85016323303     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8070555     Document Type: Article
Times cited : (23)

References (74)
  • 1
    • 84920508943 scopus 로고    scopus 로고
    • Automatic analysis and mining of remote sensing big data
    • Li, D., Zhang, L., Xia, G.S. Automatic analysis and mining of remote sensing big data. Acta Geod. Cartogr. Sin. 2014, 43, 1211-1216.
    • (2014) Acta Geod. Cartogr. Sin. , vol.43 , pp. 1211-1216
    • Li, D.1    Zhang, L.2    Xia, G.S.3
  • 5
    • 75449091209 scopus 로고    scopus 로고
    • Semantic annotation of satellite images using latent dirichlet allocation
    • Lienou, M., Maitre, H., Datcu, M. Semantic annotation of satellite images using latent dirichlet allocation. IEEE Geosci. Remote Sens. Lett. 2010, 7, 28-32.
    • (2010) IEEE Geosci. Remote Sens. Lett. , vol.7 , pp. 28-32
    • Lienou, M.1    Maitre, H.2    Datcu, M.3
  • 6
    • 84890425279 scopus 로고    scopus 로고
    • Unsupervised Feature Learning for Aerial Scene Classification
    • Cheriyadat, A. Unsupervised Feature Learning for Aerial Scene Classification. IEEE Trans. Geosci. Remote Sens. 2014, 52, 439-451.
    • (2014) IEEE Trans. Geosci. Remote Sens. , vol.52 , pp. 439-451
    • Cheriyadat, A.1
  • 7
    • 84863038460 scopus 로고    scopus 로고
    • In Proceedings of the 2011 International Conference on Computer Vision, Barcelona, Spain, 6-13 November
    • Yang, Y., Newsam, S. Spatial pyramid co-occurrence for image classification. In Proceedings of the 2011 International Conference on Computer Vision, Barcelona, Spain, 6-13 November 2011; pp. 1465-1472.
    • (2011) Spatial pyramid co-occurrence for image classification , pp. 1465-1472
    • Yang, Y.1    Newsam, S.2
  • 8
    • 84886932505 scopus 로고    scopus 로고
    • Extreme value theory-based calibration for multiple feature fusion in high-resolution satellite scene classification
    • Shao, W., Yang, W., Xia, G.S. Extreme value theory-based calibration for multiple feature fusion in high-resolution satellite scene classification. Int. J. Remote Sens. 2013, 34, 8588-8602.
    • (2013) Int. J. Remote Sens. , vol.34 , pp. 8588-8602
    • Shao, W.1    Yang, W.2    Xia, G.S.3
  • 9
    • 84908027761 scopus 로고    scopus 로고
    • Pyramid of Spatial Relatons for Scene-Level Land Use Classification
    • Chen, S., Tian, Y. Pyramid of Spatial Relatons for Scene-Level Land Use Classification. IEEE Trans. Geosci. Remote Sens. 2015, 53, 1947-1957.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , pp. 1947-1957
    • Chen, S.1    Tian, Y.2
  • 10
    • 84950141946 scopus 로고    scopus 로고
    • Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
    • Hu, F., Xia, G.S., Hu, J., Zhang, L. Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery. Remote Sens. 2015, 7, 14680-14707.
    • (2015) Remote Sens. , vol.7 , pp. 14680-14707
    • Hu, F.1    Xia, G.S.2    Hu, J.3    Zhang, L.4
  • 11
    • 84950151895 scopus 로고    scopus 로고
    • A Comparative Study of Sampling Analysis in the Scene Classification of Optical High-Spatial Resolution Remote Sensing Imagery
    • Hu, J., Xia, G.S., Hu, F., Zhang, L. A Comparative Study of Sampling Analysis in the Scene Classification of Optical High-Spatial Resolution Remote Sensing Imagery. Remote Sens. 2015, 7, 14988-15013.
    • (2015) Remote Sens. , vol.7 , pp. 14988-15013
    • Hu, J.1    Xia, G.S.2    Hu, F.3    Zhang, L.4
  • 12
    • 84909977972 scopus 로고    scopus 로고
    • Multi-class geospatial object detection and geographic image classification based on collection of part detectors
    • Cheng, G., Han, J., Zhou, P., Guo, L. Multi-class geospatial object detection and geographic image classification based on collection of part detectors. ISPRS J. Photogramm. Remote Sens. 2014, 98, 119-132.
    • (2014) ISPRS J. Photogramm. Remote Sens. , vol.98 , pp. 119-132
    • Cheng, G.1    Han, J.2    Zhou, P.3    Guo, L.4
  • 13
    • 85027931914 scopus 로고    scopus 로고
    • Learning High-level Features for Satellite Image Classification With Limited Labeled Samples
    • Yang, W., Yin, X., Xia, G.S. Learning High-level Features for Satellite Image Classification With Limited Labeled Samples. IEEE Trans. Geosci. Remote Sens. 2015, 53, 4472-4482.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , pp. 4472-4482
    • Yang, W.1    Yin, X.2    Xia, G.S.3
  • 14
    • 84950161713 scopus 로고    scopus 로고
    • Accurate annotation of remote sensing images via active spectral clustering with little expert knowledge
    • Xia, G.S., Wang, Z., Xiong, C., Zhang, L. Accurate annotation of remote sensing images via active spectral clustering with little expert knowledge. Remote Sens. 2015, 7, 15014-15045.
    • (2015) Remote Sens. , vol.7 , pp. 15014-15045
    • Xia, G.S.1    Wang, Z.2    Xiong, C.3    Zhang, L.4
  • 15
    • 84962541771 scopus 로고    scopus 로고
    • A color-texture-structure descriptor for high-resolution satellite image classification
    • Yu, H., Yang, W., Xia, G.S., Liu, G. A color-texture-structure descriptor for high-resolution satellite image classification. Remote Sens. 2016, 8, 259, doi:10.3390/rs8030259.
    • (2016) Remote Sens. , vol.8 , pp. 259
    • Yu, H.1    Yang, W.2    Xia, G.S.3    Liu, G.4
  • 16
    • 84867852096 scopus 로고    scopus 로고
    • View independent object classification by exploring scene consistency information for traffic scene surveillance
    • Zhang, Z., Huang, K., Wang, Y., Li, M. View independent object classification by exploring scene consistency information for traffic scene surveillance. Neurocomputing 2013, 99, 250-260.
    • (2013) Neurocomputing , vol.99 , pp. 250-260
    • Zhang, Z.1    Huang, K.2    Wang, Y.3    Li, M.4
  • 17
    • 84897445480 scopus 로고    scopus 로고
    • Spatial and temporal classification of synthetic satellite imagery: Land cover mapping and accuracy validation
    • Xu, Y., Huang, B. Spatial and temporal classification of synthetic satellite imagery: Land cover mapping and accuracy validation. Geo-Spatial Inf. Sci. 2014, 17, 1-7.
    • (2014) Geo-Spatial Inf. Sci. , vol.17 , pp. 1-7
    • Xu, Y.1    Huang, B.2
  • 18
  • 19
    • 33745155436 scopus 로고    scopus 로고
    • In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, 20-25 June
    • Fei-Fei, L., Perona, P. A Bayesian hierarchical model for learning natural scene categories. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, 20-25 June 2005; Volume 2, pp. 524-531.
    • (2005) A Bayesian hierarchical model for learning natural scene categories , vol.2 , pp. 524-531
    • Fei-Fei, L.1    Perona, P.2
  • 20
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe, D.G. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 2004, 60, 91-110.
    • (2004) Int. J. Comput. Vis. , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 21
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    • Ojala, T., Pietikainen, M., Maenpaa, T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 2002, 24, 971-987.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , pp. 971-987
    • Ojala, T.1    Pietikainen, M.2    Maenpaa, T.3
  • 23
    • 84893656343 scopus 로고    scopus 로고
    • Accurate junction detection and characterization in natural images
    • Xia, G.S., Delon, J., Gousseau, Y. Accurate junction detection and characterization in natural images. Int. J. Comput. Vis. 2014, 106, 31-56.
    • (2014) Int. J. Comput. Vis. , vol.106 , pp. 31-56
    • Xia, G.S.1    Delon, J.2    Gousseau, Y.3
  • 25
    • 84968644486 scopus 로고    scopus 로고
    • Strokelets: A learned multi-scale mid-level representation for scene text recognition
    • Bai, X., Yao, C., Liu,W. Strokelets: A learned multi-scale mid-level representation for scene text recognition. IEEE Trans. Image Process. 2016, 25, 2789-2802.
    • (2016) IEEE Trans. Image Process. , vol.25 , pp. 2789-2802
    • Bai, X.1    Yao, C.2    Liu, W.3
  • 26
    • 84949254659 scopus 로고    scopus 로고
    • Script identification in the wild via discriminative convolutional neural network
    • Shi, B., Bai, X., Yao, C. Script identification in the wild via discriminative convolutional neural network. Pattern Recognit. 2016, 52, 448-458.
    • (2016) Pattern Recognit. , vol.52 , pp. 448-458
    • Shi, B.1    Bai, X.2    Yao, C.3
  • 29
    • 84962532387 scopus 로고    scopus 로고
    • In Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26-31 July
    • Hu, F., Wang, Z., Xia, G.S., Luo, B., Zhang, L. Fast binary coding for satellite image scene classification. In Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26-31 July 2015; pp. 517-520.
    • (2015) Fast binary coding for satellite image scene classification , pp. 517-520
    • Hu, F.1    Wang, Z.2    Xia, G.S.3    Luo, B.4    Zhang, L.5
  • 32
    • 78650593938 scopus 로고    scopus 로고
    • In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, San Jose, CA, USA, 3-5 November
    • Yang, Y., Newsam, S. Bag-of-visual-words and spatial extensions for land-use classification. In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, San Jose, CA, USA, 3-5 November 2010; pp. 270-279.
    • (2010) Bag-of-visual-words and spatial extensions for land-use classification , pp. 270-279
    • Yang, Y.1    Newsam, S.2
  • 33
    • 84901653960 scopus 로고    scopus 로고
    • Mining Mid-level Features for Image Classification
    • Fernando, B., Fromont, E., Tuytelaars, T. Mining Mid-level Features for Image Classification. Int. J. Comput. Vis. 2014, 108, 186-203.
    • (2014) Int. J. Comput. Vis. , vol.108 , pp. 186-203
    • Fernando, B.1    Fromont, E.2    Tuytelaars, T.3
  • 35
    • 84870253906 scopus 로고    scopus 로고
    • Bag of spatio-visual words for context inference in scene classification
    • Bolovinou, A., Pratikakis, I., Perantonis, S. Bag of spatio-visual words for context inference in scene classification. Pattern Recognit. 2013, 46, 1039-1053.
    • (2013) Pattern Recognit. , vol.46 , pp. 1039-1053
    • Bolovinou, A.1    Pratikakis, I.2    Perantonis, S.3
  • 36
    • 84874563913 scopus 로고    scopus 로고
    • In Proceedings of the 21st International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 11-15 November
    • Kannala, J., Rahtu, E. Bsif: Binarized statistical image features. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 11-15 November 2012; pp. 1363-1366.
    • (2012) Bsif: Binarized statistical image features , pp. 1363-1366
    • Kannala, J.1    Rahtu, E.2
  • 37
    • 84862283411 scopus 로고    scopus 로고
    • In Proceedings of the International Conference on Artificial Intelligence and Statistics, Fort Lauderdale, FL, USA, 11-13 April
    • Coates, A., Ng, A., Lee, H. An analysis of single-layer networks in unsupervised feature learning. In Proceedings of the International Conference on Artificial Intelligence and Statistics, Fort Lauderdale, FL, USA, 11-13 April 2011; pp. 215-223.
    • (2011) An analysis of single-layer networks in unsupervised feature learning , pp. 215-223
    • Coates, A.1    Ng, A.2    Lee, H.3
  • 39
    • 84908032942 scopus 로고    scopus 로고
    • Saliency-Guided Unsupervised Feature Learning for Scene Classification
    • Zhang, F., Du, B., Zhang, L. Saliency-Guided Unsupervised Feature Learning for Scene Classification. IEEE Trans. Geosci. Remote Sens. 2015, 53, 2175-2184.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , pp. 2175-2184
    • Zhang, F.1    Du, B.2    Zhang, L.3
  • 40
    • 85027929099 scopus 로고    scopus 로고
    • Unsupervised Feature Learning Via Spectral Clustering of Multidimensional Patches for Remotely Sensed Scene Classification
    • Hu, F., Xia, G.S., Wang, Z., Huang, X., Zhang, L., Sun, H. Unsupervised Feature Learning Via Spectral Clustering of Multidimensional Patches for Remotely Sensed Scene Classification. IEEE J. Sel. Top Appl. Earth Obs. Remote Sens. 2015, 8, 2015-2030.
    • (2015) IEEE J. Sel. Top Appl. Earth Obs. Remote Sens. , vol.8 , pp. 2015-2030
    • Hu, F.1    Xia, G.S.2    Wang, Z.3    Huang, X.4    Zhang, L.5    Sun, H.6
  • 41
    • 85019946257 scopus 로고    scopus 로고
    • (accessed on 21 January 2016).
    • Heaviside Step Function. Available online: https://en.wikipedia.org/wiki/Heaviside_step_function (accessed on 21 January 2016).
  • 43
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B.A., Field, D.J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 1996, 381, 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 44
    • 71149119964 scopus 로고    scopus 로고
    • In Proceedings of the International Conference on Machine Learning, Montreal, QC, Canada, 14-18 June
    • Mairal, J., Bach, F., Ponce, J., Sapiro, G. Online Dictionary Learning for Sparse Coding. In Proceedings of the International Conference on Machine Learning, Montreal, QC, Canada, 14-18 June 2009; pp. 689-696.
    • (2009) Online Dictionary Learning for Sparse Coding , pp. 689-696
    • Mairal, J.1    Bach, F.2    Ponce, J.3    Sapiro, G.4
  • 45
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • Lee, D.D., Seung, H.S. Algorithms for non-negative matrix factorization. Adv. Neural Inf. Process. Syst. 2001, 13, 556-562.
    • (2001) Adv. Neural Inf. Process. Syst. , vol.13 , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2
  • 47
    • 79551480483 scopus 로고    scopus 로고
    • Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
    • Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.A. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 2010, 9999, 3371-3408.
    • (2010) J. Mach. Learn. Res. , vol.9999 , pp. 3371-3408
    • Vincent, P.1    Larochelle, H.2    Lajoie, I.3    Bengio, Y.4    Manzagol, P.A.5
  • 48
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • Hyvärinen, A., Oja, E. Independent component analysis: Algorithms and applications. Neural Netw. 2000, 13, 411-430.
    • (2000) Neural Netw. , vol.13 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 50
    • 33947236748 scopus 로고    scopus 로고
    • Rapid biologically-inspired scene classification using features shared with visual attention
    • Siagian, C., Itti, L. Rapid biologically-inspired scene classification using features shared with visual attention. Trans. Pattern Anal. Mach. Intell. 2007, 29, 300-312.
    • (2007) Trans. Pattern Anal. Mach. Intell. , vol.29 , pp. 300-312
    • Siagian, C.1    Itti, L.2
  • 51
    • 84866677469 scopus 로고    scopus 로고
    • In Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA, 16-21 June
    • Sharma, G., Jurie, F., Schmid, C. Discriminative spatial saliency for image classification. In Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA, 16-21 June 2012; pp. 3506-3513.
    • (2012) Discriminative spatial saliency for image classification , pp. 3506-3513
    • Sharma, G.1    Jurie, F.2    Schmid, C.3
  • 52
    • 77956008283 scopus 로고    scopus 로고
    • In Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, 13-18 June 2010
    • Goferman, S., Zelnik-Manor, L., Tal, A. Context-aware saliency detection. In Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, 13-18 June 2010, 2010; pp. 2376-2383.
    • (2010) Context-aware saliency detection , pp. 2376-2383
    • Goferman, S.1    Zelnik-Manor, L.2    Tal, A.3
  • 53
    • 44649132566 scopus 로고    scopus 로고
    • In Proceedings of the International Conference on Computer Vision Systems, Santorini, Greece, 12-15 May
    • Achanta, R., Estrada, F.,Wils, P., Süsstrunk, S. Salient region detection and segmentation. In Proceedings of the International Conference on Computer Vision Systems, Santorini, Greece, 12-15 May 2008; pp. 66-75.
    • (2008) Salient region detection and segmentation , pp. 66-75
    • Achanta, R.1    Estrada, F.2    Wils, P.3    Süsstrunk, S.4
  • 54
    • 62649143331 scopus 로고    scopus 로고
    • Saliency, attention, and visual search: An information theoretic approach
    • Bruce, N.D., Tsotsos, J.K. Saliency, attention, and visual search: An information theoretic approach. J. Vis. 2009, 9, 1-24.
    • (2009) J. Vis. , vol.9 , pp. 1-24
    • Bruce, N.D.1    Tsotsos, J.K.2
  • 55
    • 84898491541 scopus 로고    scopus 로고
    • Automatic salient object segmentation based on context and shape prior
    • Jiang, H., Wang, J., Yuan, Z., Liu, T., Zheng, N., Li, S. Automatic salient object segmentation based on context and shape prior. Br. Mach. Vis. Conf. 2011, 6, 1-12.
    • (2011) Br. Mach. Vis. Conf. , vol.6 , pp. 1-12
    • Jiang, H.1    Wang, J.2    Yuan, Z.3    Liu, T.4    Zheng, N.5    Li, S.6
  • 57
    • 70450186191 scopus 로고    scopus 로고
    • In Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 20-26 June
    • Achanta, R., Hemami, S., Estrada, F., Susstrunk, S. Frequency-tuned salient region detection. In Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 20-26 June 2009; pp. 1597-1604.
    • (2009) Frequency-tuned salient region detection , pp. 1597-1604
    • Achanta, R.1    Hemami, S.2    Estrada, F.3    Susstrunk, S.4
  • 60
    • 84866672748 scopus 로고    scopus 로고
    • In Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, 16-21 June
    • Shen, X.,Wu, Y. A unified approach to salient object detection via low rank matrix recovery. In Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, 16-21 June 2012; pp. 853-860.
    • (2012) A unified approach to salient object detection via low rank matrix recovery , pp. 853-860
    • Shen, X.1    Wu, Y.2
  • 61
    • 78651106504 scopus 로고    scopus 로고
    • In Proceedings of the 2010 IEEE International Conference on Image Processing, Hong Kong, China, 26-29 September
    • Achanta, R., Susstrunk, S. Saliency detection using maximum symmetric surround. In Proceedings of the 2010 IEEE International Conference on Image Processing, Hong Kong, China, 26-29 September 2010; pp. 2653-2656.
    • (2010) Saliency detection using maximum symmetric surround , pp. 2653-2656
    • Achanta, R.1    Susstrunk, S.2
  • 64
    • 77950364024 scopus 로고    scopus 로고
    • Static and space-time visual saliency detection by self-resemblance
    • Seo, H.J., Milanfar, P. Static and space-time visual saliency detection by self-resemblance. J. Vis. 2009, 9, 1-27.
    • (2009) J. Vis. , vol.9 , pp. 1-27
    • Seo, H.J.1    Milanfar, P.2
  • 65
    • 35148814949 scopus 로고    scopus 로고
    • In Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, USA, 17-22 June
    • Hou, X., Zhang, L. Saliency detection: A spectral residual approach. In Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, USA, 17-22 June 2007; pp. 1-8.
    • (2007) Saliency detection: A spectral residual approach , pp. 1-8
    • Hou, X.1    Zhang, L.2
  • 66
    • 58149506125 scopus 로고    scopus 로고
    • SUN: A Bayesian framework for saliency using natural statistics
    • Zhang, L., Tong, M.H., Marks, T.K., Shan, H., Cottrell, G.W. SUN: A Bayesian framework for saliency using natural statistics. J. Vis. 2008, 8, 1-20.
    • (2008) J. Vis. , vol.8 , pp. 1-20
    • Zhang, L.1    Tong, M.H.2    Marks, T.K.3    Shan, H.4    Cottrell, G.W.5
  • 69
    • 85019933208 scopus 로고    scopus 로고
    • (accessed on 21 January 2016).
    • DR Toolbox. Available online: https://lvdmaaten.github.io/drtoolbox/ (accessed on 21 January 2016).
  • 70
    • 85019913383 scopus 로고    scopus 로고
    • (accessed on 21 January 2016).
    • PCA and ICA Package. Available online: http://www.mathworks.com/matlabcentral/fileexchange/ 38300-pca-and-ica-package (accessed on 21 January 2016).
  • 72
    • 0042440861 scopus 로고    scopus 로고
    • In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Madison, WI, USA, 18-20 June
    • Varma, M., Zisserman, A. Texture classification: Are filter banks necessary? In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Madison, WI, USA, 18-20 June 2003; Volume 2.
    • (2003) Texture classification: Are filter banks necessary? , vol.2
    • Varma, M.1    Zisserman, A.2
  • 73
    • 0035358496 scopus 로고    scopus 로고
    • Representing and recognizing the visual appearance of materials using three-dimensional textons
    • Leung, T., Malik, J. Representing and recognizing the visual appearance of materials using three-dimensional textons. Int. J. Comput. Vis. 2001, 43, 29-44.
    • (2001) Int. J. Comput. Vis. , vol.43 , pp. 29-44
    • Leung, T.1    Malik, J.2
  • 74
    • 0035680897 scopus 로고    scopus 로고
    • In Proceedings of the IEEE Conference on Computer Vision and Pattern, Kauai, HI, USA, 8-14 December
    • Schmid, C. Constructing models for content-based image retrieval. In Proceedings of the IEEE Conference on Computer Vision and Pattern, Kauai, HI, USA, 8-14 December 2001; Volume 2, pp. 39-45.
    • (2001) Constructing models for content-based image retrieval , vol.2 , pp. 39-45
    • Schmid, C.1


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