Pyramid of spatial relatons for scene-level land use classification

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 4, 2015, Pages 1947-1957

  Chen, Shizhi ^a,b   Tian, Yingli ^a  

^a CITY COLLEGE OF NEW YORK   (United States)

^b NAVAL UNDERSEA WARFARE CENTER   (United States)

Author keywords

Bag of words (BOW); geographical image classification; land use classification; pyramid of spatial relatons (PSR); spatial pyramid matching (SPM)

Indexed keywords

CLASSIFICATION (OF INFORMATION); ENCODING (SYMBOLS); IMAGE CODING; IMAGE RETRIEVAL; LAND USE; REMOTE SENSING; SIGNAL ENCODING;

BAG OF WORDS; CLASSIFICATION ACCURACY; LAND USE AND LAND COVER; LANDUSE CLASSIFICATIONS; OBJECT CLASSIFICATION; PYRAMID OF SPATIAL RELATONS (PSR); RETRIEVAL APPLICATIONS; SPATIAL PYRAMID MATCHING;

IMAGE CLASSIFICATION;

ACCURACY ASSESSMENT; ALGORITHM; COMPUTER VISION; DATABASE; IMAGE CLASSIFICATION; LAND COVER; LAND USE; REMOTE SENSING; SPATIAL DATA;

EID: 84908027761     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2351395     Document Type: Article

References (46)

1. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. New York, NY, USA: ACM Press, 1999.
2. H. Bay, A. Ess, T. Tuytelaars, and L. Gool, "Speeded-up robust features (SURF)," Comput. Vis. Image Understanding, vol. 110, no. 3, pp. 346-359, Jun. 2008.
3. J. Bordes and V. Prinet, "Mixture distributions for weakly supervised classification in remote sensing images," in Proc. BMVC, 2008, pp. 1-10.
4. Y. Boureau, N. Roux, F. Bach, J. Ponce, and Y. LeCun, "Ask the locals: Multi-way local pooling for image recognition," in Proc. ICCV, 2011, pp. 2651-2658.
5. G. Burghouts and J. Geusebroek, "Performance evaluation of local color invariants," Comput. Vis. Image Understanding, vol. 113, pp. 48-62, 2009.
6. Y. Cao, C. Wang, Z. Li, L. Zhang, and L. Zhang, "Spatial-bag-offeatures," in Proc. IEEE Conf. CVPR, 2010, pp. 3352-3359.
7. S. Chen and Y. Tian, "Describing Visual Scene through EigenMaps," J. Comput. Vis. Image Process., vol. 2, no. 1, pp. 1-7, Mar. 2012.
8. G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray, "Visual categorization with bag of key points," presented at the ECCV, 2004.
9. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. IEEE Comput. Soc. Conf. CVPR, 2005, pp. 886-893.
10. J. Deng, A. Berg, K. Li, and L. Fei-Fei, "What does classifying more than 10,000 image categories tell us," in Proc. ECCV, 2010, pp. 71-84.
11. L. Fei-Fei and P. Perona, "Bayesian hierarchy model for learning natural scene categories," in Proc. IEEE Comput. Soc. Conf. CVPR, 2005, pp. 524-531.
12. L. Fei-Fei, R. Fergus, and P. Perona, "One-shot learning of object categories," IEEE Trans. PAMI, vol. 28, no. 4, pp. 594-611, Apr. 2006.
13. W. Freeman and E. Adelson, "The design and use of steerable filters," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 9, pp. 891-906, Sep. 1991.
14. G. Griffin, A. Holub, and P. Perona, "Caltech-256 Object Category Dataset," California Inst. Technol., Pasadena, CA, USA, Tech. Rep. 7694, 2007.
15. R. Haralick, "Statistical and structural approaches to texture," Proc. IEEE, vol. 67, no. 5, pp. 786-804, May 1979.
16. J. Huang, S. Kumar, M. Mitra, W. Zhu, and R. Zabih, "Image indexing using color correlograms," in Proc. IEEE Comput. Soc. Conf. CVPR, 1997, pp. 762-768.
17. P. Gehler and S. Nowozin, "On feature combination for multiclass object classification," in Proc. IEEE ICCV, 2009, pp. 221-228.
18. J. Gemert, C. Veenman, A. Smeulders, and J. Geusebroek, "Visual word ambiguity," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 7, pp. 1271-1283, Jul. 2009.
19. H. Goncalves, L. Corte-Real, and J. Goncalves, "Automatic image registration through image segmentation and SIFT," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 7, pp. 2589-2600, Jul. 2011.
20. Y. Ke and R. Sukthankar, "PCA-SIFT: A more distinctive representation for local image descriptors," in Proc. Conf. Comput. Vis. Pattern Recog., 2004, pp. II-506-II-513.
21. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in Proc. IEEE Comput. Soc. Conf. CVPR, 2006, pp. 2169-2178.
22. Z. Li, J. Imai, andM. Kaneko, "Robust face recognition using block-based bag of words," in Proc. Int. Conf. Pattern Recog., 2010, pp. 1285-1288.
23. H. Ling and S. Soatto, "Proximity distribution kernels for geometric context in category recognition," presented at the IEEE ICCV, 2007.
24. D. Liu, G. Hua, P. Viola, and T. Chen, "Integrated feature selection and higher-order spatial feature extraction for object categorization," presented at the IEEE Conf. CVPR, 2008.
25. L. Liu, L. Wang, and X. Liu, "In defense of soft-assignment coding," in Proc. IEEE ICCV, 2011, pp. 2486-2493.
26. S. Lloyd, "Least squares quantization in PCM," IEEE Trans. Inf. Theory, vol. 28, no. 2, pp. 129-137, Mar. 1982.
27. D. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
28. S. McCann and D. Lowe, "Spatially local coding for object recognition," in Proc. ACCV, 2012, pp. 204-217.
29. A. Mukherjee, M. Velez-Reyes, and B. Roysam, "Interest points for hyperspectral image data," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 3, pp. 748-760, Mar. 2009.
30. E. Nowak, F. Jurie, and B. Triggs, "Sampling strategies for bag of feature image classification," in Proc. ECCV, 2006, pp. 490-503.
31. S. Savarese, J. Winn, and A. Criminisi, "Discriminative object class models of appearance and shape by correlatons," in Proc. IEEE Comput. Soc. Conf. CVPR, 2006, pp. 2033-2040.
32. A. Sedaghat, M. Mokhtarzade, and H. Ebadi, "Uniform robust scale invariant feature matching for optical remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4516-4527, Nov. 2011.
33. B. Sirmacek and C. Unsalan, "Urban-area and building detection using SIFT keypoints and graph theory," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 4, pp. 1156-1167, Apr. 2009.
34. B. Sirmacek and C. Unsalan, "Urban area detection using local feature points and spatial voting," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 146-150, Jan. 2010.
35. J. Sivic and A. Zisserman, "Efficient visual search of videos cast as text retrieval," IEEE. Trans. Pattern Anal. Mach. Intell., vol. 31, no. 4, pp. 591-606, Apr. 2009.
36. W. Tobler, "A computer movie simulating urban growth in the Detroit region," Econ. Geography, vol. 46, no. 2, pp. 234-240, 1970.
37. M. Varma and D. Ray, "Learning the discriminative power-invariance tradeoff," presented at the IEEE ICCV, 2007.
38. A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman, "Multiple kernels for object detection," in Proc. IEEE ICCV, 2009, pp. 606-613.
39. J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba, "SUN database: Large-scale scene recognition from abbey to zoo," in Proc. IEEE Conf. CVPR, 2010, pp. 3485-3492.
40. Z. Xiong and Y. Zhang, "A novel interest-point-matching algorithm for high-resolution satellite images," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 12, pp. 4189-4200, Dec. 2009.
41. S. Xu, T. Fang, D. Li, and S.Wang, "Object classification of aerial images with bag-of-visual words," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 2, pp. 366-370, Apr. 2010.
42. Y. Yang and S. Newsam, "Geographic image retrieval using local invariant features," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 2, pp. 818-832, Feb. 2013.
43. Y. Yang and S. Newsam, "Bag-of-visual-words and spatial extensions for land-use classification," in Proc. ACM GIS, 2010, pp. 270-279.
44. Y. Yang and S. Newsam, "Spatial pyramid co-occurrence for image classification," in Proc. IEEE Conf. ICCV, 2011, pp. 1465-1472.
45. J. Yang, K. Yu, Y. Gong, and T. Huang, "Linear spatial pyramid matching using sparse coding for image classification," in Proc. IEEE Conf. CVPR, 2009, pp. 1794-1801.
46. E. Zhang and M. Mayo, "Improving bag-of-words model with spatial information," presented at the Int. Conf. Image Vision Comput., 2010.