An improved Bag-of-Words framework for remote sensing image retrieval in large-scale image databases

Reference

• Aly, M., M. Munich, and P. Perona. 2011. “Indexing in Large Scale Image Collections: Scaling Properties and Benchmark.” In 2011 IEEE Workshop on Application of Computer Vision. Rio de Janeiro, Brazil, October 14–20. doi:10.1109/WACV.2011.5711534.
   Google Scholar
• Chawla, S., S. Shekhar, W. L. Wu, and U. Ozesmi. 2001. Modeling Spatial Dependencies for Mining Geospatial Data: An Introduction, in Geographic Data Mining and Knowledge Discovery. New York: Taylor & Francis.
   Google Scholar
• Dong, X., J. C. Tat, Y. Shuicheng, D. Lixin, and F. C. Shih. 2010. “Near Duplicate Identification with Spatially Aligned Pyramid Matching.” IEEE Transaction on Circuits and Systems for Video Technology 20: 1068–1079. doi:10.1109/TCSVT.2010.2051286.
   Web of Science ®Google Scholar
• Hao, S., S. Xian, W. Hongqi, L. Yu, and L. Xiangjuan. 2012. “Automatic Target Detection in High-resolution Remote Sensing Images Using Spatial Sparse Coding Bag-of-Words Model.” IEEE Geoscience and Remote Sensing Letters 9 (1): 109–113. doi:10.1109/LGRS.2011.2161569.
   Web of Science ®Google Scholar
• Herve, J., D. Matthijs, and C. Schmid. 2008. “Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search.” Proceedings of the 10th European Conference on Computer Vision. Marseille, France, October 12–18.
   Google Scholar
• Lepetit, V., P. Lagger, and P. Fua. 2005. “Randomized Trees for Real Time Keypoint Recognition.” In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, CA, June 20–25.
   Google Scholar
• Lindeberg, T. 1998. “Feature Detection with Automatic Scale Selection.” International Journal of Computer Vision 30 (2): 79–116. doi:10.1023/A:1008045108935.
   Web of Science ®Google Scholar
• Lower, D. G. 2004. “Distinctive Image Features from Scale-invariant Key Points.” International Journal of Computer Vision 2 (60): 91–110. doi:10.1023/B:VISI.0000029664.99615.94.
   Web of Science ®Google Scholar
• Mikolajczyk, K., and C. Schmid. 2004. “Scale and Affine Invariant Interest Point Detectors.” International Journal of Computer Vision 60 (1): 63–86. doi:10.1023/B:VISI.0000027790.02288.f2.
   Web of Science ®Google Scholar
• Molinier, M., J. Laaksonen, and T. Hame. 2007. “Detecting Man-made Structures and Changes in Satellite Imagery with a Content-based Information Retrieval System Built on Self-organizing Maps.” IEEE Transactions on Geoscience and Remote Sensing 45 (4): 861–874. doi:10.1109/TGRS.2006.890580.
   Web of Science ®Google Scholar
• Nister, D., and H. Stewenius. 2006. “Scalable Recognition with a Vocabulary Tree.” In Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, DC, June 17–22.
   Google Scholar
• Philbin, J., O. Chum, M. Isard, J. Sivic, and A. Zisserman. 2007. “Object Retrieval with Large Vocabularies and Fast Spatial Matching.” In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, USA, June 17–22.
   Google Scholar
• Philbin, J., O. Chum, M. Isard, J. Sivic, and A. Zisserman. 2008. “Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases.” In IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, June 23–28.
   Google Scholar
• Quattrochi, D. A., N. Lam, H. Qiu, and W. Zhao. 1997. Scale in Remote Sensing and GIS: Image Characterization and Modeling System (ICAMS): A Geographic Information System for the Characterization and Modeling of Multiscale Remote Sensing Data. Cambridge: Cambridge University Press, 295–307.
   Google Scholar
• Samal, A., S. Bhatia, P. Vadlamani, and D. Marx. 2009. “Searching Satellite Imagery with Integrated Measures.” Pattern Recognition 42 (11): 2502–2513. doi:10.1016/j.patcog.2009.01.035.
   Web of Science ®Google Scholar
• Shu, C., X. Q. Ding, and C. Fang. 2012. “Histogram of Oriented Gradient for Face Recognition.” Tsinghua Science and Technology 16: 216–224. doi:10.1016/S1007-0214(11)70032-3.
   Google Scholar
• Shyu, C.-R., M. Klaric, G. J. Scott, A. S. Barb, C. H. Davis, and K. Palaniappan. 2007. “GeoIris: Geospatial Information Retrieval and Indexing System – Content Mining, Semantics Modeling, and Complex Queries.” IEEE Transactions on Geoscience and Remote Sensing 45 (4): 839–852. doi:10.1109/TGRS.2006.890579.
   PubMed Web of Science ®Google Scholar
• Sivic, J., and A. Zisserman. 2003. “Video Google: A Text Retrieval Approach to Object Matching in Videos.” In Proceedings Ninth IEEE International Conference on Computer Vision, Nice, France, October 13–16.
   Google Scholar
• Torralba, A., R. Fergus, and W. T. Freeman. 2008. “80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition.” IEEE Transactions on Pattern Analysis and Machine Intelligence 30: 1958–1970. doi:10.1109/TPAMI.2008.128.
   PubMed Web of Science ®Google Scholar
• Turcot, P., and D. G. Lower. 2009. “Better Matching with Fewer Features: The Selection of Useful Features in Large Database Recognition Problems.” In IEEE 12th International Conference on Computer Vision Workshop, Kyoto, Japan, September 27–October 4.
   Google Scholar
• Weizman, L., and J. Goldberger. 2009. “Urban-area Segmentation Using Visual Words.” IEEE Geoscience and Remote Sensing Letter 6 (3): 388–392. doi:10.1109/LGRS.2009.2014400.
   Web of Science ®Google Scholar
• Yang, Y., and S. Newsam. 2013. “Geographic Image Retrieval Using Local Invariant Features.” IEEE Transactions on Geoscience and Remote Sensing 51: 818–832. doi:10.1109/TGRS.2012.2205158.
   Web of Science ®Google Scholar