Scene classification using multi-scale deeply described visual words

References

• Bellens, R., L. Gautama Sidharta, M.-F. W. Philips, J. C. Chan, and F. Canters. 2008. “Improved Classification of VHR Images of Urban Areas Using Directional Morphological Profiles.” IEEE Transactions on Geoscience and Remote Sensing 46 (10): 2803–2813. doi:10.1109/TGRS.2008.2000628.
   Web of Science ®Google Scholar
• Blaschke, T. 2010. “Object Based Image Analysis for Remote Sensing.” ISPRS Journal of Photogrammetry and Remote Sensing 65 (1): 2–16. doi:10.1016/j.isprsjprs.2009.06.004.
   Web of Science ®Google Scholar
• Boutell, M. R., J. Luo, X. Shen, and C. M. Brown. 2004. “Learning Multi-Label Scene Classification.” Pattern Recognition 37 (9): 1757–1771. doi:10.1016/j.patcog.2004.03.009.
   Web of Science ®Google Scholar
• Bruzzone, L., and L. Carlin. 2006. “A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images.” IEEE Transactions on Geoscience and Remote Sensing 44 (9): 2587–2600. doi:10.1109/TGRS.2006.875360.
   Web of Science ®Google Scholar
• Cheriyadat, A. M. 2014. “Unsupervised Feature Learning for Aerial Scene Classification.” IEEE Transactions on Geoscience and Remote Sensing 52 (1): 439–451. doi:10.1109/TGRS.2013.2241444.
   Web of Science ®Google Scholar
• Dalal, N., and B. Triggs. 2005. “Histograms of Oriented Gradients for Human Detection”. Paper presented at the Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, San Diego, CA, June 20–June 25.
   Google Scholar
• Felzenszwalb, P. F., R. B. Girshick, D. McAllester, and D. Ramanan. 2010. “Object Detection with Discriminatively Trained Part-Based Models.” IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (9): 1627–1645. doi:10.1109/TPAMI.2009.167.
   PubMed Web of Science ®Google Scholar
• Fernando, B., E. Fromont, and T. Tuytelaars. 2014. “Mining Mid-level Features for Image Classification.” International Journal of Computer Vision 108 (3): 186–203. doi:10.1007/s11263-014-0700-1.
   Web of Science ®Google Scholar
• Fukushima, K. 1980. “Neocognitron: A Self-Organizing Neural Network Model for A Mechanism of Pattern Recognition Unaffected by Shift in Position.” Biological Cybernetics 36 (4): 193–202. doi:10.1007/BF00344251.
   PubMed Web of Science ®Google Scholar
• Hinton, G. E., S. Osindero, and Y.-W. Teh. 2006. “A Fast Learning Algorithm for Deep Belief Nets.” Neural Computation 18 (7): 1527–1554. doi:10.1162/neco.2006.18.7.1527.
   PubMed Web of Science ®Google Scholar
• Hu, F., G.-S. Xia, Z. Wang, X. Huang, L. Zhang, and H. Sun. 2015. “Unsupervised Feature Learning Via Spectral Clustering of Multidimensional Patches for Remotely Sensed Scene Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (5): 2015–2030. doi:10.1109/JSTARS.2015.2444405.
   Web of Science ®Google Scholar
• Hu, F., G.-S. Xia, J. Hu, and L. Zhang. 2015. “Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery.” Remote Sensing 7 (11): 14680–14707. doi:10.3390/rs71114680.
   Web of Science ®Google Scholar
• Hubel, D. H., and T. N. Wiesel. 1970. “The Period of Susceptibility to the Physiological Effects of Unilateral Eye Closure in Kittens.” The Journal of Physiology 206 (2): 419–436. doi:10.1113/jphysiol.1970.sp009022.
   PubMed Web of Science ®Google Scholar
• Jia, S., H. Liu, and F. Sun. 2015. “Aerial Scene Classification with Convolutional Neural Networks.” In Advances in Neural Networks – ISNN 2015, edited by H. Xiaolin, Y. Xia, Y. Zhang, and D. Zhao, 258–265. Cham: Springer International Publishing.
   Google Scholar
• Jia, Y., E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. 2014. “Caffe: Convolutional Architecture for Fast Feature Embedding.” In Proceedings of the ACM International Conference on Multimedia, November 03–07, 675–678. Orlando, FL: ACM.
   Google Scholar
• Lazebnik, S., C. Schmid, and J. Ponce. 2006. “Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories”. Paper presented at the Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, New York, June 17–June 22.
   Google Scholar
• LeCun, Y., B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. 1989. “Backpropagation Applied to Handwritten Zip Code Recognition.” Neural Computation 1 (4): 541–551. doi:10.1162/neco.1989.1.4.541.
   Web of Science ®Google Scholar
• Lee, H., R. Grosse, R. Ranganath, and A. Y. Ng. 2009. “Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations.” In Proceedings of the 26th Annual International Conference on Machine Learning, June 14–18, 609–616. Montreal, QC: ACM.
   Google Scholar
• Li, L-J, H. Su, L. Fei-Fei, and E. P. Xing. 2010. “Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification”. Paper presented at the Advances in neural information processing systems Vancouver, BC, December 6–9.
   Google Scholar
• Lowe, D. G. 2004. “Distinctive Image Features from Scale-Invariant Keypoints.” International Journal of Computer Vision 60 (2): 91–110. doi:10.1023/B:VISI.0000029664.99615.94.
   Web of Science ®Google Scholar
• Luo, J., M. Boutell, R. T. Gray, and C. Brown. 2005. “Image Transform Bootstrapping and its Applications to Semantic Scene Classification.” IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 35 (3): 563–570. doi:10.1109/TSMCB.2005.846677.
   PubMed Web of Science ®Google Scholar
• Myint, S. W., P. Gober, A. Brazel, S. Grossman-Clarke, and Q. Weng. 2011. “Per-Pixel Vs. Object-Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery.” Remote Sensing of Environment 115 (5): 1145–1161. doi:10.1016/j.rse.2010.12.017.
   Web of Science ®Google Scholar
• Penatti, O. A. B., K. Nogueira, and J. A. dos Santos. 2015. “Do Deep Features Generalize from Everyday Objects to Remote Sensing and Aerial Scenes Domains?” Paper presented at the Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on, Boston, MA, June 7–12
   Google Scholar
• Shackelford, A. K., and C. H. Davis. 2003. “A Combined Fuzzy Pixel-Based and Object-Based Approach for Classification of High-Resolution Multispectral Data over Urban Areas.” IEEE Transactions on Geoscience and Remote Sensing 41 (10): 2354–2364. doi:10.1109/TGRS.2003.815972.
   Web of Science ®Google Scholar
• Yang, C., H. Liu, S. Wang, and S. Liao. 2016. “Scene-Level Geographic Image Classification Based on a Covariance Descriptor Using Supervised Collaborative Kernel Coding.” Sensors 16 (3): 392. doi:10.3390/s16030392.
   Web of Science ®Google Scholar
• Yang, J., Y.-G. Jiang, A. G. Hauptmann, and C.-W. Ngo. 2007. “Evaluating Bag-Of-Visual-Words Representations in Scene Classification.” In Proceedings of the international workshop on Workshop on multimedia information retrieval, September 23–28, 197–206. Augsburg: ACM.
   Google Scholar
• Yang, Y., and S. Newsam. 2010. “Bag-Of-Visual-Words and Spatial Extensions for Land-Use Classification”. Paper presented at the Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, San Jose, CA, November 3–5.
   Google Scholar
• Yi, Y., and S. Newsam. 2011. “Spatial Pyramid Co-Occurrence for Image Classification”. Paper presented at the Computer Vision (ICCV), 2011 IEEE International Conference on, Barcelona, November 6–13.
   Google Scholar
• Zhao, W., and S. Du. 2016a. “Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach.” IEEE Transactions on Geoscience and Remote Sensing 54 (8): 4544–4554. doi:10.1109/TGRS.2016.2543748.
   Web of Science ®Google Scholar
• Zhao, W., and S. Du. 2016b. “Learning Multiscale and Deep Representations for Classifying Remotely Sensed Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 113: 155–165. doi:10.1016/j.isprsjprs.2016.01.004.
   Web of Science ®Google Scholar
• Zhao, W., Z. Guo, J. Yue, X. Zhang, and L. Luo. 2015. “On Combining Multiscale Deep Learning Features for the Classification of Hyperspectral Remote Sensing Imagery.” International Journal of Remote Sensing 36 (13): 3368–3379. doi:10.1080/2150704X.2015.1062157.
   Web of Science ®Google Scholar
• Zhou, L., Z. Zhou, and D. Hu. 2013. “Scene Classification Using a Multi-Resolution Bag-Of-Features Model.” Pattern Recognition 46 (1): 424–433. doi:10.1016/j.patcog.2012.07.017.
   Web of Science ®Google Scholar