Scene classification using local and global features with collaborative representation fusion
•A scene classification based on collaborative representation fusion is proposed.•The complementary nature of local and global spatial features is investigated.•Weighted fusion is designed based on residuals from two types of features.•Proposed LGF overcomes difficulties residing in feature or decis...
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| Vydané v: | Information sciences Ročník 348; s. 209 - 226 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Inc
20.06.2016
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| ISSN: | 0020-0255, 1872-6291 |
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| Abstract | •A scene classification based on collaborative representation fusion is proposed.•The complementary nature of local and global spatial features is investigated.•Weighted fusion is designed based on residuals from two types of features.•Proposed LGF overcomes difficulties residing in feature or decision level fusion.
This paper presents an effective scene classification approach based on collaborative representation fusion of local and global spatial features. First, a visual word codebook is constructed by partitioning an image into dense regions, followed by the typical k-means clustering. A locality-constrained linear coding is employed on dense regions via the visual codebook, and a spatial pyramid matching strategy is then used to combine local features of the entire image. For global feature extraction, the method called multiscale completed local binary patterns (MS-CLBP) is applied to both the original gray scale image and its Gabor feature images. Finally, kernel collaborative representation-based classification (KCRC) is employed on the extracted local and global features, and class label of the testing image is assigned according to the minimal approximation residual after fusion. The proposed method is evaluated by using four commonly-used datasets including two remote sensing images datasets, an indoor and outdoor scenes dataset, and a sports action dataset. Experimental results demonstrate that the proposed method significantly outperforms the state-of-the-art methods. |
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| AbstractList | This paper presents an effective scene classification approach based on collaborative representation fusion of local and global spatial features. First, a visual word codebook is constructed by partitioning an image into dense regions, followed by the typical k-means clustering. A locality-constrained linear coding is employed on dense regions via the visual codebook, and a spatial pyramid matching strategy is then used to combine local features of the entire image. For global feature extraction, the method called multiscale completed local binary patterns (MS-CLBP) is applied to both the original gray scale image and its Gabor feature images. Finally, kernel collaborative representation-based classification (KCRC) is employed on the extracted local and global features, and class label of the testing image is assigned according to the minimal approximation residual after fusion. The proposed method is evaluated by using four commonly-used datasets including two remote sensing images datasets, an indoor and outdoor scenes dataset, and a sports action dataset. Experimental results demonstrate that the proposed method significantly outperforms the state-of-the-art methods. •A scene classification based on collaborative representation fusion is proposed.•The complementary nature of local and global spatial features is investigated.•Weighted fusion is designed based on residuals from two types of features.•Proposed LGF overcomes difficulties residing in feature or decision level fusion. This paper presents an effective scene classification approach based on collaborative representation fusion of local and global spatial features. First, a visual word codebook is constructed by partitioning an image into dense regions, followed by the typical k-means clustering. A locality-constrained linear coding is employed on dense regions via the visual codebook, and a spatial pyramid matching strategy is then used to combine local features of the entire image. For global feature extraction, the method called multiscale completed local binary patterns (MS-CLBP) is applied to both the original gray scale image and its Gabor feature images. Finally, kernel collaborative representation-based classification (KCRC) is employed on the extracted local and global features, and class label of the testing image is assigned according to the minimal approximation residual after fusion. The proposed method is evaluated by using four commonly-used datasets including two remote sensing images datasets, an indoor and outdoor scenes dataset, and a sports action dataset. Experimental results demonstrate that the proposed method significantly outperforms the state-of-the-art methods. |
| Author | Li, Wei Chen, Chen Zou, Jinyi Du, Qian |
| Author_xml | – sequence: 1 givenname: Jinyi surname: Zou fullname: Zou, Jinyi organization: College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China – sequence: 2 givenname: Wei surname: Li fullname: Li, Wei email: liwei089@ieee.org, leewei36@gmail.com organization: College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China – sequence: 3 givenname: Chen surname: Chen fullname: Chen, Chen organization: Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA – sequence: 4 givenname: Qian surname: Du fullname: Du, Qian organization: Department of Electrical and Computer Engineering, Mississippi State University, MS 39762, USA |
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| Cites_doi | 10.1109/TPAMI.2002.1017623 10.1109/JSTARS.2014.2339842 10.1023/B:VISI.0000027790.02288.f2 10.1109/LGRS.2012.2225596 10.1016/j.ipm.2009.03.002 10.1109/TGRS.2014.2357078 10.1109/TIP.2010.2044957 10.1109/TGRS.2014.2381602 10.1016/j.patcog.2004.03.003 10.1109/TCSVT.2013.2269011 10.1109/LGRS.2013.2295115 10.1109/TPAMI.2005.188 10.1109/LGRS.2015.2501383 10.1023/B:VISI.0000029664.99615.94 10.1023/A:1011139631724 10.1016/j.patcog.2009.11.009 10.1016/j.amc.2013.07.024 10.1080/01431161.2014.890762 10.1016/j.patcog.2014.05.002 10.1109/TGRS.2015.2435801 10.1088/0954-898X_14_3_302 10.1109/72.914517 10.1080/01431161.2011.608740 10.1109/TIP.2014.2328894 10.1109/JSTARS.2015.2444405 10.1109/TPAMI.2005.33 10.1109/TPAMI.2006.244 10.1109/LGRS.2015.2478966 10.1023/A:1023052124951 10.1109/TGRS.2013.2241444 10.3390/rs71114806 10.1109/TMM.2015.2419973 10.1109/TCYB.2014.2307862 10.1016/j.neucom.2013.06.023 10.1109/JSTARS.2013.2252150 10.1109/LGRS.2015.2503142 10.1109/TGRS.2014.2343955 10.1109/TMM.2012.2231061 10.1016/j.ins.2014.01.025 10.1109/TGRS.2014.2351395 10.1016/j.patcog.2012.07.017 |
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| Keywords | Scene classification Locality-constrained linear coding Collaborative representation-based classification Spatial pyramid matching |
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| References | Bo, Ren, Fox (bib0002) 2011 Hu, Xia, Wang, Huang, Zhang, Sun (bib0015) 2015; 8 Yang, Frangi, Yang, Zhang (bib0052) 2005; 27 Zhang, Marszalek, Lazebnik, Schmid (bib0062) 2005 Risojevic, Babic (bib0040) 2011 Zhou, Zhou, Hu (bib0007) 2013; 122 Duan, Lin, Wang, Huang, Gao (bib0011) 2015; 17 Guo, Zhang, Zhang (bib0014) 2010; 19 Li, Li (bib0020) 2007 Lowe (bib0029) 2001 Torralba (bib0046) 2003; 53 Yu, Hong, Wang, You (bib0057) 2014; 47 Liu, Wu, Wei, Xiao, Sun (bib0027) 2013; 6 Yang, Wang, Yin, Sun, Ricanek (bib0054) 2013; 222 Zhang, Yang, Feng (bib0063) 2011 Zhang, Shan, Gao, Chen, Zhang (bib0065) 2005 Lazebnik, Schmid, Ponce (bib0017) 2006 Li, Chen, Su, Du (bib0023) 2015; 53 Qin, Yung (bib0038) 2010; 43 Yang, Yu, Gong, Huang (bib0053) 2009 Liu, Mubarak (bib0026) 2007 Peng, Li, Xie, Du, Liu (bib0036) 2015; 7 Lowe (bib0010) 2004; 60 Zhao, Tang, L.Huo (bib0067) 2014; 7 Li, Du (bib0024) 2015; 53 van Gemert, Geusebroek, Veenman, Smeulders (bib0048) 2008 Zhang, Du, Zhang (bib0061) 2015; 53 Mikolajczyk, Schmid (bib0032) 2005; 27 Zhou, Hu, Zhou (bib0069) 2011 Li, Perona (bib0019) 2005 Chaib, Gu, Yao (bib0003) 2016; 13 Ojala, Pietikainen, Maenpaa (bib0034) 2002; 24 Willamowski, Arregui, Csurka, Dance, Fan (bib0051) 2004 Yu, Rui, Tang, Tao (bib0058) 2014; 44 Chen, Zhou, Guo, Li, Su, Guo (bib0005) 2015 Yang, Newsam (bib0055) 2010 Sheng, Yang, Xu, Sun (bib0045) 2011; 33 Marina, Lapalme (bib0030) 2009; 45 Mikolajczyk, Schmid (bib0031) 2004; 60 Li, Su, Xing, Li (bib0022) 2008 Zhang, Du, Zhang (bib0060) 2015; 53 Jiang, Wang, Xue, Chang (bib0016) 2013; 15 Risojevic, Babic (bib0041) 2013; 10 Li, Ming, Yan, Sun, Tian, Tian (bib0018) 2014; 11 Quattoni, Torralba (bib0039) 2009 Li, Tao, Tan, Shang, Tian (bib0025) 2016; 13 Zhong, Zhu, Zhang (bib0068) 2015; 53 Ahonen, Hadid, Pietikinen (bib0001) 2006; 28 Muller, Mika, Ratsch, Tsuda, Scholkopf (bib0033) 2001; 12 Yu, Tao, Li, Cheng (bib0059) 2014; 281 Zhao, L.Huo (bib0066) 2014; 35 Grauman, Darrell (bib0012) 2005 Serrano, Savakis, Luo (bib0042) 2004; 37 Torralba, Oliva (bib0047) 2003; 14 Qi, Wu, Shen, Gong (bib0037) 2015; 12 Wallraven, Caputo, Graf (bib0049) 2003; 1 Li, Su, Lim, Li (bib0021) 2010 Zhou, Zhou, Hu (bib0070) 2013; 46 Serre, Kouh, Cadieu, Knoblich, Kreiman, Poggio (bib0043) 2005 Yang, Newsam (bib0056) 2011 Chen, Zhang, Su, Li, Wang (bib0004) 2015 Zhang, Zhen, Shao (bib0064) 2014; 23 Lowe (bib0028) 1999; 2 Guo, Hsia, Liu, Shih, Chang, Wu (bib0013) 2013; 23 Oliva, Torralba (bib0035) 2001; 42 Cheriyadat (bib0008) 2014; 52 Das (bib0009) 2014; 4 Shao, Yang, Xia, Liu (bib0044) 2013 Wang, Yang, Yu, Lv, Huang, Gong (bib0050) 2010 Chen, Tian (bib0006) 2015; 53 Yu (10.1016/j.ins.2016.02.021_bib0059) 2014; 281 Cheriyadat (10.1016/j.ins.2016.02.021_bib0008) 2014; 52 Zhang (10.1016/j.ins.2016.02.021_bib0063) 2011 Serrano (10.1016/j.ins.2016.02.021_bib0042) 2004; 37 Marina (10.1016/j.ins.2016.02.021_bib0030) 2009; 45 Sheng (10.1016/j.ins.2016.02.021_bib0045) 2011; 33 Jiang (10.1016/j.ins.2016.02.021_bib0016) 2013; 15 Duan (10.1016/j.ins.2016.02.021_bib0011) 2015; 17 Zhong (10.1016/j.ins.2016.02.021_bib0068) 2015; 53 Yu (10.1016/j.ins.2016.02.021_bib0058) 2014; 44 Shao (10.1016/j.ins.2016.02.021_bib0044) 2013 Li (10.1016/j.ins.2016.02.021_bib0018) 2014; 11 Li (10.1016/j.ins.2016.02.021_bib0025) 2016; 13 Liu (10.1016/j.ins.2016.02.021_bib0027) 2013; 6 Yang (10.1016/j.ins.2016.02.021_bib0056) 2011 Zhang (10.1016/j.ins.2016.02.021_bib0060) 2015; 53 Mikolajczyk (10.1016/j.ins.2016.02.021_bib0031) 2004; 60 Mikolajczyk (10.1016/j.ins.2016.02.021_bib0032) 2005; 27 Li (10.1016/j.ins.2016.02.021_bib0024) 2015; 53 Muller (10.1016/j.ins.2016.02.021_bib0033) 2001; 12 Chen (10.1016/j.ins.2016.02.021_bib0004) 2015 Zhang (10.1016/j.ins.2016.02.021_bib0064) 2014; 23 Yu (10.1016/j.ins.2016.02.021_bib0057) 2014; 47 Das (10.1016/j.ins.2016.02.021_bib0009) 2014; 4 Lowe (10.1016/j.ins.2016.02.021_bib0029) 2001 Qin (10.1016/j.ins.2016.02.021_bib0038) 2010; 43 Torralba (10.1016/j.ins.2016.02.021_bib0047) 2003; 14 Lazebnik (10.1016/j.ins.2016.02.021_bib0017) 2006 Zhou (10.1016/j.ins.2016.02.021_bib0007) 2013; 122 Zhang (10.1016/j.ins.2016.02.021_bib0061) 2015; 53 Serre (10.1016/j.ins.2016.02.021_bib0043) 2005 Li (10.1016/j.ins.2016.02.021_bib0020) 2007 Quattoni (10.1016/j.ins.2016.02.021_bib0039) 2009 van Gemert (10.1016/j.ins.2016.02.021_bib0048) 2008 Zhou (10.1016/j.ins.2016.02.021_bib0069) 2011 Chen (10.1016/j.ins.2016.02.021_bib0006) 2015; 53 Risojevic (10.1016/j.ins.2016.02.021_bib0040) 2011 Liu (10.1016/j.ins.2016.02.021_bib0026) 2007 Grauman (10.1016/j.ins.2016.02.021_bib0012) 2005 Chen (10.1016/j.ins.2016.02.021_bib0005) 2015 Qi (10.1016/j.ins.2016.02.021_bib0037) 2015; 12 Zhao (10.1016/j.ins.2016.02.021_bib0067) 2014; 7 Wallraven (10.1016/j.ins.2016.02.021_bib0049) 2003; 1 Ojala (10.1016/j.ins.2016.02.021_bib0034) 2002; 24 Yang (10.1016/j.ins.2016.02.021_bib0054) 2013; 222 Bo (10.1016/j.ins.2016.02.021_bib0002) 2011 Li (10.1016/j.ins.2016.02.021_bib0022) 2008 Zhang (10.1016/j.ins.2016.02.021_sbref0062) 2005 Li (10.1016/j.ins.2016.02.021_bib0019) 2005 Chaib (10.1016/j.ins.2016.02.021_bib0003) 2016; 13 Guo (10.1016/j.ins.2016.02.021_bib0014) 2010; 19 Oliva (10.1016/j.ins.2016.02.021_bib0035) 2001; 42 Zhao (10.1016/j.ins.2016.02.021_bib0066) 2014; 35 Yang (10.1016/j.ins.2016.02.021_bib0053) 2009 Lowe (10.1016/j.ins.2016.02.021_bib0028) 1999; 2 Risojevic (10.1016/j.ins.2016.02.021_bib0041) 2013; 10 Wang (10.1016/j.ins.2016.02.021_bib0050) 2010 Zhou (10.1016/j.ins.2016.02.021_bib0070) 2013; 46 Hu (10.1016/j.ins.2016.02.021_bib0015) 2015; 8 Yang (10.1016/j.ins.2016.02.021_bib0055) 2010 Torralba (10.1016/j.ins.2016.02.021_bib0046) 2003; 53 Li (10.1016/j.ins.2016.02.021_bib0021) 2010 Zhang (10.1016/j.ins.2016.02.021_bib0065) 2005 Li (10.1016/j.ins.2016.02.021_bib0023) 2015; 53 Peng (10.1016/j.ins.2016.02.021_bib0036) 2015; 7 Lowe (10.1016/j.ins.2016.02.021_bib0010) 2004; 60 Yang (10.1016/j.ins.2016.02.021_bib0052) 2005; 27 Guo (10.1016/j.ins.2016.02.021_bib0013) 2013; 23 Ahonen (10.1016/j.ins.2016.02.021_bib0001) 2006; 28 Willamowski (10.1016/j.ins.2016.02.021_bib0051) 2004 |
| References_xml | – volume: 24 start-page: 971 year: 2002 end-page: 987 ident: bib0034 article-title: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – year: 2009 ident: bib0053 article-title: Linear spatial pyramid matching using sparse coding for image classification publication-title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition – start-page: 270 year: 2010 end-page: 279 ident: bib0055 article-title: Bag-of-visual-words and spatial extensions for land-use classification publication-title: Proceedings of the Eighteenth ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems – volume: 222 start-page: 13 year: 2013 end-page: 28 ident: bib0054 article-title: Image classification using kernel collaborative representation with regularized least square publication-title: Appl. Math. Comput. – volume: 28 start-page: 2037 year: 2006 end-page: 2041 ident: bib0001 article-title: Face description with local binary patterns: Application to face recognition publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – start-page: 3360 year: 2010 end-page: 3367 ident: bib0050 article-title: Locality-constrained linear coding for image classification publication-title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition – start-page: 1 year: 2007 end-page: 7 ident: bib0026 article-title: Scene modeling using co-clustering publication-title: Proceedings of the Eleventh IEEE International Conference on Computer Vision – volume: 42 start-page: 145 year: 2001 end-page: 175 ident: bib0035 article-title: Modeling the shape of the scene: a holistic representation of the spatial envelope publication-title: Int. J. Comput. Vis. – start-page: 524 year: 2005 end-page: 531 ident: bib0019 article-title: A Bayesian hierarchical model for learning natural scene categories publication-title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition – volume: 13 start-page: 147 year: 2016 end-page: 151 ident: bib0003 article-title: An informative feature selection method based on sparse PCA for VHR scene classification publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 14 start-page: 391 year: 2003 end-page: 412 ident: bib0047 article-title: Statistics of natural image categories publication-title: Netw. Comput. Neural Syst. – volume: 53 start-page: 2175 year: 2015 end-page: 2184 ident: bib0061 article-title: Saliency-guided unsupervised feature learning for scene classification publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 23 start-page: 1809 year: 2013 end-page: 1821 ident: bib0013 article-title: Fast background subtraction based on a multiplayer codebook model for moving object detection publication-title: IEEE Trans. Circuits Syst. Video Technol. – volume: 1 start-page: 257 year: 2003 end-page: 264 ident: bib0049 article-title: Recognition with local features: the kernel recipe publication-title: Proceedings of the IEEE International Conference on Computer Vision (ICCV) – volume: 60 start-page: 91 year: 2004 end-page: 110 ident: bib0010 article-title: Distinctiveimage features from scale-invariant keypoints publication-title: Int. J. Comput. Vis. – volume: 35 start-page: 2296 year: 2014 end-page: 2310 ident: bib0066 article-title: A 2-d wavelet decomposition-based bag-of-visual-words model for landuse scene classification publication-title: Int. J. Remote Sens. – volume: 2 start-page: 1150 year: 1999 end-page: 1157 ident: bib0028 article-title: Object recognition from local scale-invariant features publication-title: Int. J. Comput. Vis. – volume: 281 start-page: 671 year: 2014 end-page: 686 ident: bib0059 article-title: Semantic preserving distance metric learning and applications publication-title: Inf. Sci. – volume: 10 start-page: 836 year: 2013 end-page: 840 ident: bib0041 article-title: Fusion of global and local descriptors for remote sensing image classification publication-title: IEEE Geosci. Remote Sens. Lett. – start-page: 324 year: 2013 end-page: 333 ident: bib0044 article-title: A hierarchical scheme of multiple feature fusion for high-resolution satellite scene categorization publication-title: Proceedings of the Ninth International Conference on Computer Vision Systems – year: 2015 ident: bib0004 article-title: Land-use scene classification using multi-scale completed local binary patterns publication-title: Signal Image Video Process. – volume: 53 start-page: 1463 year: 2015 end-page: 1474 ident: bib0024 article-title: Collaborative representation for hyperspectral anomaly detection publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 27 start-page: 1615 year: 2005 end-page: 1630 ident: bib0032 article-title: A performance evaluation of local descriptors publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – start-page: 682 year: 2001 end-page: 688 ident: bib0029 article-title: Local feature view clustering for 3d object recognition publication-title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition – volume: 37 start-page: 1773 year: 2004 end-page: 1784 ident: bib0042 article-title: Improved scene classification using efficient low-level features and semantic cues publication-title: Pattern Recognit. – volume: 45 start-page: 427 year: 2009 end-page: 437 ident: bib0030 article-title: A systematic analysis of performance measure for classification tasks publication-title: Inf. Process. Manag. – volume: 7 start-page: 14806 year: 2015 end-page: 14826 ident: bib0036 article-title: Weighted fusion-based representation classifiers for hyperspectral imagery publication-title: Remote Sens. – volume: 47 start-page: 3512 year: 2014 end-page: 3519 ident: bib0057 article-title: Image clustering based on sparse patch alignment framework publication-title: Pattern Recognit. – volume: 23 start-page: 3241 year: 2014 end-page: 3253 ident: bib0064 article-title: Learning object-to-class kernels for scene classification publication-title: IEEE Trans. Image Process. – volume: 122 start-page: 284 year: 2013 end-page: 297 ident: bib0007 article-title: Scene classification using a multi-resolution low-level feature combination publication-title: Neurocomput. – start-page: 1 year: 2010 end-page: 13 ident: bib0021 article-title: Objects as attributes for scene classification publication-title: Proceedings of the European Conference Computer Vision – volume: 44 start-page: 2431 year: 2014 end-page: 2442 ident: bib0058 article-title: High-order distance-based multiview stochastic learning in image classification publication-title: IEEE Trans. Cybern. – volume: 53 start-page: 2175 year: 2015 end-page: 2184 ident: bib0060 article-title: Saliency-guided unsupervised feature learning for scene classification publication-title: IEEE Trans. Geosci. Remote Sens. – start-page: 2169 year: 2006 end-page: 2178 ident: bib0017 article-title: ,beyond bags of features: Spatial pyramid matching for recognizing natural scene categories publication-title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition – volume: 11 start-page: 1433 year: 2014 end-page: 1437 ident: bib0018 article-title: Image matching based on two-column histogram hashing and improved RANSAC publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 53 start-page: 169 year: 2003 end-page: 191 ident: bib0046 article-title: Contextual priming for object detection publication-title: Int. J. Comput. Vis. – volume: 13 start-page: 157 year: 2016 end-page: 161 ident: bib0025 article-title: Unsupervised multilayer feature learning for satellite image scene classification publication-title: IEEE Geosci. Remote Sens. Lett. – year: 2008 ident: bib0022 article-title: Object bank: A high-level image representation for scene classification and semantic feature sparsification publication-title: Proceedings of the Neural Information Processing Systems – volume: 6 start-page: 2462 year: 2013 end-page: 2471 ident: bib0027 article-title: Spatial-spectral kernel sparse representation for hyperspectral image classification publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. – volume: 8 start-page: 2015 year: 2015 end-page: 2030 ident: bib0015 article-title: Unsupervised feature learning via spectral clustering of multidimensional patches for remotely sensed scene classification publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. – volume: 12 start-page: 181 year: 2001 end-page: 201 ident: bib0033 article-title: An introduction to kernel-based learning algorithms publication-title: IEEE Trans. Neural Netw. – year: 2015 ident: bib0005 article-title: Gabor-filtering-based completed local binary patterns for land-use scene classification publication-title: Proceedings of the First IEEE International Conference on Multimedia Big Data and Hyperspectral Imaging Workshop – year: 2004 ident: bib0051 article-title: Categorizing nine visual classes using local appearance descriptors publication-title: Proceedings of the ICPR Workshop on Learning for Adaptable Visual Systems – start-page: 1 year: 2007 end-page: 8 ident: bib0020 article-title: What, where and who? classifying events by scene and object recognition publication-title: Proceedings of the Eleventh IEEE International Conference on Computer Vision – volume: 4 start-page: 15 year: 2014 end-page: 25 ident: bib0009 article-title: Scene classification using pyramid histogram of multi-scale block local binary pattern publication-title: Int. J. Comput. Sci. Appl. (IJCSA) – volume: 46 start-page: 424 year: 2013 end-page: 433 ident: bib0070 article-title: Scene classification using a multi-resolution bag-of-features model publication-title: Pattern Recognit. – volume: 52 start-page: 439 year: 2014 end-page: 451 ident: bib0008 article-title: Unsupervised feature learning for aerial scene classification publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 60 start-page: 63 year: 2004 end-page: 86 ident: bib0031 article-title: Scale and affine invariant interest point detectors publication-title: Int. J. Comput. Vis. – volume: 15 start-page: 442 year: 2013 end-page: 453 ident: bib0016 article-title: Query adaptive image search with hash codes publication-title: IEEE Trans. Multimed. – year: 2008 ident: bib0048 article-title: Kernel codebooks for scene categorization publication-title: Proceedings of the Tenth European Conference on Computer Vision ECCV – start-page: 786 year: 2005 end-page: 791 ident: bib0065 article-title: Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition publication-title: Proceedings of the Tenth IEEE International Conference on ICCV – year: 2011 ident: bib0069 article-title: Scene recognition combining structural and textural features publication-title: Science China Information Sciences – volume: 43 start-page: 1874 year: 2010 end-page: 1888 ident: bib0038 article-title: Scene categorization via contextual visual words publication-title: Pattern Recognit. – volume: 7 start-page: 4620 year: 2014 end-page: 4631 ident: bib0067 article-title: Land-use scene classification using a concentric circle-structured multiscale bag-of-visual-words model publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. – year: 2011 ident: bib0002 article-title: Hierarchical matching pursuit for image classification: Architecture and fast algorithms publication-title: Advances in Neural Information Processing Systems – year: 2005 ident: bib0012 article-title: Pyramid match kernels: Discriminative classification with sets of image features publication-title: Proceedings of the IEEE International Conference on Computer Vision (ICCV) – volume: 12 start-page: 2403 year: 2015 end-page: 2407 ident: bib0037 article-title: Land-use scene classification in high-resolution remote sensing images using improved correlations publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 53 start-page: 6207 year: 2015 end-page: 6222 ident: bib0068 article-title: Scene classification based on the multifeature fusion probabilistic topic model for high spatial resolution remote sensing imagery publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 33 start-page: 2395 year: 2011 end-page: 2412 ident: bib0045 article-title: High-resolution satellite scene classification using a sparse coding based multiple feature combination publication-title: Int. J. Remote Sens. – volume: 17 start-page: 828 year: 2015 end-page: 842 ident: bib0011 article-title: Weighted component hashing of binary aggregated descriptors for fast visual search publication-title: IEEE Trans. Multimed. – volume: 19 start-page: 1657 year: 2010 end-page: 1663 ident: bib0014 article-title: A completed modeling of local binary pattern operator for texture classification publication-title: IEEE Trans. Image Process. – volume: 53 start-page: 1947 year: 2015 end-page: 1957 ident: bib0006 article-title: Pyramid of spatial relations for scene-level land use classification publication-title: IEEE Trans. Geosci. Remote Sens. – year: 2005 ident: bib0062 publication-title: Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study – year: 2005 ident: bib0043 article-title: A theory of object recognition: Computations and circuits in the feedforward path of the ventral stream in primate visual cortex publication-title: Computer Science and Artificial Intelligence Laboratory Technical Report – start-page: 190 year: 2011 end-page: 195 ident: bib0040 article-title: Aerial image classification using structural texture similarity publication-title: Proceedings of the IEEE International Symposium on Signal Processing and Information Technology – volume: 27 start-page: 230 year: 2005 end-page: 244 ident: bib0052 article-title: KPCA plus LDA: a complete kernel fisher discriminant frame work for feature extraction and recognition publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 53 start-page: 3681 year: 2015 end-page: 3693 ident: bib0023 article-title: Local binary patterns and extreme learning machine for hyperspectral imagery classification publication-title: IEEE Trans. Geosci. Remote Sens. – year: 2011 ident: bib0063 article-title: Sparse representation or collaborative representation: which helps face recognition publication-title: Proceedings of the IEEE Conference on Computer Vision (ICCV2011) – start-page: 413 year: 2009 end-page: 420 ident: bib0039 article-title: Recognizing indoor scenes publication-title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition – start-page: 1465 year: 2011 end-page: 1472 ident: bib0056 article-title: Spatial pyramid co-occurrence for image classification publication-title: Proceedings of the International Conference on Computer Vision – volume: 24 start-page: 971 issue: 7 year: 2002 ident: 10.1016/j.ins.2016.02.021_bib0034 article-title: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2002.1017623 – volume: 7 start-page: 4620 issue: 12 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0067 article-title: Land-use scene classification using a concentric circle-structured multiscale bag-of-visual-words model publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2014.2339842 – start-page: 413 year: 2009 ident: 10.1016/j.ins.2016.02.021_bib0039 article-title: Recognizing indoor scenes – year: 2011 ident: 10.1016/j.ins.2016.02.021_bib0069 article-title: Scene recognition combining structural and textural features – volume: 60 start-page: 63 year: 2004 ident: 10.1016/j.ins.2016.02.021_bib0031 article-title: Scale and affine invariant interest point detectors publication-title: Int. J. Comput. Vis. doi: 10.1023/B:VISI.0000027790.02288.f2 – volume: 2 start-page: 1150 year: 1999 ident: 10.1016/j.ins.2016.02.021_bib0028 article-title: Object recognition from local scale-invariant features publication-title: Int. J. Comput. Vis. – start-page: 190 year: 2011 ident: 10.1016/j.ins.2016.02.021_bib0040 article-title: Aerial image classification using structural texture similarity – volume: 10 start-page: 836 issue: 4 year: 2013 ident: 10.1016/j.ins.2016.02.021_bib0041 article-title: Fusion of global and local descriptors for remote sensing image classification publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2012.2225596 – year: 2005 ident: 10.1016/j.ins.2016.02.021_sbref0062 – volume: 45 start-page: 427 issue: 4 year: 2009 ident: 10.1016/j.ins.2016.02.021_bib0030 article-title: A systematic analysis of performance measure for classification tasks publication-title: Inf. Process. Manag. doi: 10.1016/j.ipm.2009.03.002 – volume: 53 start-page: 2175 issue: 4 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0060 article-title: Saliency-guided unsupervised feature learning for scene classification publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2014.2357078 – volume: 19 start-page: 1657 issue: 6 year: 2010 ident: 10.1016/j.ins.2016.02.021_bib0014 article-title: A completed modeling of local binary pattern operator for texture classification publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2010.2044957 – year: 2009 ident: 10.1016/j.ins.2016.02.021_bib0053 article-title: Linear spatial pyramid matching using sparse coding for image classification – year: 2011 ident: 10.1016/j.ins.2016.02.021_bib0063 article-title: Sparse representation or collaborative representation: which helps face recognition – volume: 53 start-page: 3681 issue: 7 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0023 article-title: Local binary patterns and extreme learning machine for hyperspectral imagery classification publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2014.2381602 – volume: 37 start-page: 1773 year: 2004 ident: 10.1016/j.ins.2016.02.021_bib0042 article-title: Improved scene classification using efficient low-level features and semantic cues publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2004.03.003 – volume: 23 start-page: 1809 issue: 10 year: 2013 ident: 10.1016/j.ins.2016.02.021_bib0013 article-title: Fast background subtraction based on a multiplayer codebook model for moving object detection publication-title: IEEE Trans. Circuits Syst. Video Technol. doi: 10.1109/TCSVT.2013.2269011 – volume: 11 start-page: 1433 issue: 8 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0018 article-title: Image matching based on two-column histogram hashing and improved RANSAC publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2013.2295115 – volume: 27 start-page: 1615 year: 2005 ident: 10.1016/j.ins.2016.02.021_bib0032 article-title: A performance evaluation of local descriptors publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2005.188 – year: 2011 ident: 10.1016/j.ins.2016.02.021_bib0002 article-title: Hierarchical matching pursuit for image classification: Architecture and fast algorithms – volume: 13 start-page: 147 issue: 2 year: 2016 ident: 10.1016/j.ins.2016.02.021_bib0003 article-title: An informative feature selection method based on sparse PCA for VHR scene classification publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2015.2501383 – volume: 60 start-page: 91 year: 2004 ident: 10.1016/j.ins.2016.02.021_bib0010 article-title: Distinctiveimage features from scale-invariant keypoints publication-title: Int. J. Comput. Vis. doi: 10.1023/B:VISI.0000029664.99615.94 – volume: 42 start-page: 145 issue: 3 year: 2001 ident: 10.1016/j.ins.2016.02.021_bib0035 article-title: Modeling the shape of the scene: a holistic representation of the spatial envelope publication-title: Int. J. Comput. Vis. doi: 10.1023/A:1011139631724 – volume: 43 start-page: 1874 year: 2010 ident: 10.1016/j.ins.2016.02.021_bib0038 article-title: Scene categorization via contextual visual words publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2009.11.009 – volume: 222 start-page: 13 issue: 1 year: 2013 ident: 10.1016/j.ins.2016.02.021_bib0054 article-title: Image classification using kernel collaborative representation with regularized least square publication-title: Appl. Math. Comput. doi: 10.1016/j.amc.2013.07.024 – start-page: 1 year: 2010 ident: 10.1016/j.ins.2016.02.021_bib0021 article-title: Objects as attributes for scene classification – volume: 1 start-page: 257 year: 2003 ident: 10.1016/j.ins.2016.02.021_bib0049 article-title: Recognition with local features: the kernel recipe – volume: 35 start-page: 2296 issue: 6 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0066 article-title: A 2-d wavelet decomposition-based bag-of-visual-words model for landuse scene classification publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2014.890762 – volume: 47 start-page: 3512 issue: 11 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0057 article-title: Image clustering based on sparse patch alignment framework publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2014.05.002 – start-page: 2169 year: 2006 ident: 10.1016/j.ins.2016.02.021_bib0017 article-title: ,beyond bags of features: Spatial pyramid matching for recognizing natural scene categories – start-page: 1 year: 2007 ident: 10.1016/j.ins.2016.02.021_bib0026 article-title: Scene modeling using co-clustering – volume: 53 start-page: 6207 issue: 11 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0068 article-title: Scene classification based on the multifeature fusion probabilistic topic model for high spatial resolution remote sensing imagery publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2015.2435801 – volume: 14 start-page: 391 year: 2003 ident: 10.1016/j.ins.2016.02.021_bib0047 article-title: Statistics of natural image categories publication-title: Netw. Comput. Neural Syst. doi: 10.1088/0954-898X_14_3_302 – year: 2005 ident: 10.1016/j.ins.2016.02.021_bib0043 article-title: A theory of object recognition: Computations and circuits in the feedforward path of the ventral stream in primate visual cortex – volume: 12 start-page: 181 issue: 2 year: 2001 ident: 10.1016/j.ins.2016.02.021_bib0033 article-title: An introduction to kernel-based learning algorithms publication-title: IEEE Trans. Neural Netw. doi: 10.1109/72.914517 – volume: 33 start-page: 2395 issue: 8 year: 2011 ident: 10.1016/j.ins.2016.02.021_bib0045 article-title: High-resolution satellite scene classification using a sparse coding based multiple feature combination publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2011.608740 – volume: 23 start-page: 3241 issue: 8 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0064 article-title: Learning object-to-class kernels for scene classification publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2014.2328894 – volume: 8 start-page: 2015 issue: 5 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0015 article-title: Unsupervised feature learning via spectral clustering of multidimensional patches for remotely sensed scene classification publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2015.2444405 – volume: 27 start-page: 230 issue: 2 year: 2005 ident: 10.1016/j.ins.2016.02.021_bib0052 article-title: KPCA plus LDA: a complete kernel fisher discriminant frame work for feature extraction and recognition publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2005.33 – volume: 28 start-page: 2037 issue: 12 year: 2006 ident: 10.1016/j.ins.2016.02.021_bib0001 article-title: Face description with local binary patterns: Application to face recognition publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2006.244 – volume: 53 start-page: 2175 issue: 4 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0061 article-title: Saliency-guided unsupervised feature learning for scene classification publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2014.2357078 – volume: 12 start-page: 2403 issue: 12 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0037 article-title: Land-use scene classification in high-resolution remote sensing images using improved correlations publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2015.2478966 – volume: 53 start-page: 169 issue: 2 year: 2003 ident: 10.1016/j.ins.2016.02.021_bib0046 article-title: Contextual priming for object detection publication-title: Int. J. Comput. Vis. doi: 10.1023/A:1023052124951 – start-page: 324 year: 2013 ident: 10.1016/j.ins.2016.02.021_bib0044 article-title: A hierarchical scheme of multiple feature fusion for high-resolution satellite scene categorization – volume: 52 start-page: 439 issue: 1 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0008 article-title: Unsupervised feature learning for aerial scene classification publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2013.2241444 – volume: 7 start-page: 14806 issue: 11 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0036 article-title: Weighted fusion-based representation classifiers for hyperspectral imagery publication-title: Remote Sens. doi: 10.3390/rs71114806 – volume: 17 start-page: 828 issue: 6 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0011 article-title: Weighted component hashing of binary aggregated descriptors for fast visual search publication-title: IEEE Trans. Multimed. doi: 10.1109/TMM.2015.2419973 – volume: 44 start-page: 2431 issue: 12 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0058 article-title: High-order distance-based multiview stochastic learning in image classification publication-title: IEEE Trans. Cybern. doi: 10.1109/TCYB.2014.2307862 – start-page: 786 year: 2005 ident: 10.1016/j.ins.2016.02.021_bib0065 article-title: Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition – volume: 122 start-page: 284 issue: 25 year: 2013 ident: 10.1016/j.ins.2016.02.021_bib0007 article-title: Scene classification using a multi-resolution low-level feature combination publication-title: Neurocomput. doi: 10.1016/j.neucom.2013.06.023 – volume: 6 start-page: 2462 issue: 6 year: 2013 ident: 10.1016/j.ins.2016.02.021_bib0027 article-title: Spatial-spectral kernel sparse representation for hyperspectral image classification publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2013.2252150 – volume: 13 start-page: 157 issue: 2 year: 2016 ident: 10.1016/j.ins.2016.02.021_bib0025 article-title: Unsupervised multilayer feature learning for satellite image scene classification publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2015.2503142 – volume: 53 start-page: 1463 issue: 3 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0024 article-title: Collaborative representation for hyperspectral anomaly detection publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2014.2343955 – start-page: 1 year: 2007 ident: 10.1016/j.ins.2016.02.021_bib0020 article-title: What, where and who? classifying events by scene and object recognition – start-page: 524 year: 2005 ident: 10.1016/j.ins.2016.02.021_bib0019 article-title: A Bayesian hierarchical model for learning natural scene categories – year: 2004 ident: 10.1016/j.ins.2016.02.021_bib0051 article-title: Categorizing nine visual classes using local appearance descriptors – start-page: 270 year: 2010 ident: 10.1016/j.ins.2016.02.021_bib0055 article-title: Bag-of-visual-words and spatial extensions for land-use classification – year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0004 article-title: Land-use scene classification using multi-scale completed local binary patterns publication-title: Signal Image Video Process. – year: 2008 ident: 10.1016/j.ins.2016.02.021_bib0048 article-title: Kernel codebooks for scene categorization – volume: 15 start-page: 442 issue: 2 year: 2013 ident: 10.1016/j.ins.2016.02.021_bib0016 article-title: Query adaptive image search with hash codes publication-title: IEEE Trans. Multimed. doi: 10.1109/TMM.2012.2231061 – year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0005 article-title: Gabor-filtering-based completed local binary patterns for land-use scene classification – year: 2008 ident: 10.1016/j.ins.2016.02.021_bib0022 article-title: Object bank: A high-level image representation for scene classification and semantic feature sparsification – start-page: 1465 year: 2011 ident: 10.1016/j.ins.2016.02.021_bib0056 article-title: Spatial pyramid co-occurrence for image classification – volume: 4 start-page: 15 issue: 4 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0009 article-title: Scene classification using pyramid histogram of multi-scale block local binary pattern publication-title: Int. J. Comput. Sci. Appl. (IJCSA) – year: 2005 ident: 10.1016/j.ins.2016.02.021_bib0012 article-title: Pyramid match kernels: Discriminative classification with sets of image features – volume: 281 start-page: 671 year: 2014 ident: 10.1016/j.ins.2016.02.021_bib0059 article-title: Semantic preserving distance metric learning and applications publication-title: Inf. Sci. doi: 10.1016/j.ins.2014.01.025 – volume: 53 start-page: 1947 issue: 4 year: 2015 ident: 10.1016/j.ins.2016.02.021_bib0006 article-title: Pyramid of spatial relations for scene-level land use classification publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2014.2351395 – start-page: 682 year: 2001 ident: 10.1016/j.ins.2016.02.021_bib0029 article-title: Local feature view clustering for 3d object recognition – volume: 46 start-page: 424 issue: 1 year: 2013 ident: 10.1016/j.ins.2016.02.021_bib0070 article-title: Scene classification using a multi-resolution bag-of-features model publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2012.07.017 – start-page: 3360 year: 2010 ident: 10.1016/j.ins.2016.02.021_bib0050 article-title: Locality-constrained linear coding for image classification |
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| SubjectTerms | Classification Collaborative representation-based classification Feature extraction Gray scale Locality-constrained linear coding Partitioning Representations Scene classification Spatial pyramid matching Vector quantization Visual |
| Title | Scene classification using local and global features with collaborative representation fusion |
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